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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. 7-RES-JB
    11. 3090
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    Explanations

    negations and negated statements

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reloaded
    -0.60
     anonymity
    -0.58
    ynchron
    -0.58
     bearer
    -0.57
     Boom
    -0.57
    Drag
    -0.56
     Unfortunately
    -0.56
    Edge
    -0.55
    å¼
    -0.55
     Yiannopoulos
    -0.54
    POSITIVE LOGITS
     Flavoring
    0.85
    asma
    0.77
    etheless
    0.73
    bish
    0.73
    obin
    0.72
    illard
    0.71
    thora
    0.70
    amount
    0.69
    wcsstore
    0.69
    arij
    0.68
    Activations Density 0.309%

    No Known Activations