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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. 11-RES-JB
    11. 1620
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    Explanations

    mentions of appeals to action related to social issues

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social issues and justice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ox
    -0.63
    WIND
    -0.60
    ogan
    -0.58
    Catalog
    -0.55
     cumbers
    -0.54
     consists
    -0.54
    SW
    -0.54
    Magazine
    -0.53
    Cooldown
    -0.53
    DX
    -0.53
    POSITIVE LOGITS
     who
    1.27
    who
    1.17
     whom
    1.14
     whose
    0.82
     testify
    0.78
     believing
    0.73
     surn
    0.72
     fame
    0.72
     Who
    0.71
    agher
    0.70
    Activations Density 0.450%

    No Known Activations