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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. 1-RES-JB
    11. 20640
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    Explanations

    proper nouns or specific terms that indicate a topic related to various domains or aspects

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Many" to indicate frequent entities or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atum
    -0.72
     spot
    -0.69
    arium
    -0.69
    osal
    -0.69
    ocracy
    -0.68
    ade
    -0.68
    acus
    -0.67
    cel
    -0.66
    itated
    -0.65
    aby
    -0.65
    POSITIVE LOGITS
    body
    0.87
    theless
    0.83
    een
    0.81
     Helpful
    0.77
    ¿½
    0.77
    Many
    0.76
     Important
    0.76
    Unix
    0.75
     Err
    0.71
     Many
    0.71
    Activations Density 0.014%

    No Known Activations