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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. 14305
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ame" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    keyes
    -0.74
    etheless
    -0.74
    aceous
    -0.73
    ummer
    -0.72
    oidal
    -0.72
    arser
    -0.72
    acea
    -0.72
    İĭ
    -0.70
    rolet
    -0.69
    angers
    -0.68
    POSITIVE LOGITS
    leon
    1.05
    llan
    0.99
    eh
    0.95
    ña
    0.92
    e
    0.89
    xual
    0.87
    lled
    0.84
    ei
    0.82
    lla
    0.80
    ez
    0.79
    Activations Density 0.035%

    No Known Activations