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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20386
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    INDEX
    Explanations

    words related to actions or processes such as 'store', 'document', 'shield', 'battle', 'host', 'test', 'scale', 'judge', 'filter', 'form', 'sanction', 'spot', 'ship'

    oai_token-act-pair · gpt-3.5-turbo

    actions related to documenting, reporting, and influencing decisions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.73
    fml
    -0.68
    ritical
    -0.68
     guiActiveUnfocused
    -0.66
    sm
    -0.64
    catentry
    -0.64
    spot
    -0.62
     afore
    -0.62
    BuyableInstoreAndOnline
    -0.62
     vibe
    -0.61
    POSITIVE LOGITS
    uate
    0.98
     him
    0.84
     them
    0.82
    ulate
    0.79
     us
    0.73
    olate
    0.71
    lessly
    0.68
    inately
    0.68
    UGE
    0.68
    ISE
    0.67
    Activations Density 0.853%

    No Known Activations