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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. 6-RES-JB
    6. 11353
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    INDEX
    Explanations

    phrases or sentences describing actions or states

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "was" in various contexts

    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
     Previous
    -0.73
     Highlights
    -0.72
    inav
    -0.70
    Footnote
    -0.69
     Purchase
    -0.65
    atives
    -0.65
    lev
    -0.65
     Supports
    -0.64
    ESE
    -0.63
     entails
    -0.62
    POSITIVE LOGITS
    nt
    1.09
    wolves
    1.03
     gonna
    1.02
     supposed
    0.96
    wolf
    0.95
    hes
    0.94
     definitely
    0.93
     able
    0.93
     going
    0.89
     destined
    0.87
    Activations Density 0.449%

    No Known Activations