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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 15327
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    Explanations

    phrases related to needing assistance or taking action

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to necessity or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vind
    -0.68
    cow
    -0.68
    pee
    -0.66
    gemony
    -0.65
    zees
    -0.65
    thumbnails
    -0.65
     Hamm
    -0.63
     Sturgeon
    -0.63
     sham
    -0.62
     Bid
    -0.61
    POSITIVE LOGITS
    lessly
    1.12
    ache
    0.83
     assistance
    0.78
     repairs
    0.77
    lest
    0.72
     downtime
    0.68
     sust
    0.66
     necessities
    0.66
    ILY
    0.66
     interruption
    0.64
    Activations Density 0.087%

    No Known Activations