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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. 9276
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    Explanations

    numerical values related to time or quantity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "45"

    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
    hers
    -0.84
    raltar
    -0.82
    MSN
    -0.74
    undai
    -0.74
    ascus
    -0.73
     gifted
    -0.70
    nesday
    -0.70
    gebra
    -0.69
    Reviewer
    -0.69
    ãĥ´ãĤ¡
    -0.67
    POSITIVE LOGITS
    678
    0.85
    rpm
    0.83
    %-
    0.83
    ances
    0.80
     minutes
    0.79
    %:
    0.79
    ACP
    0.79
    345
    0.77
     degrees
    0.77
    45
    0.77
    Activations Density 0.033%

    No Known Activations