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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. 3-RES-JB
    11. 12098
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to action and policy measures addressing environmental and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.60
    soDeliveryDate
    -0.56
    lihood
    -0.56
    sm
    -0.56
    fml
    -0.54
    nings
    -0.53
    thing
    -0.53
    luster
    -0.51
    numbered
    -0.50
    itcher
    -0.50
    POSITIVE LOGITS
    uate
    0.77
    ulate
    0.64
    ANGE
    0.63
     him
    0.52
     them
    0.51
    igate
    0.51
    ayne
    0.51
    urate
    0.51
    ²
    0.51
    ISE
    0.50
    Activations Density 0.760%

    No Known Activations