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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. 2-RES-JB
    11. 19817
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    Explanations

    numerical information formatted as dates

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 29

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    allo
    -0.85
    omial
    -0.82
    algia
    -0.81
    ates
    -0.79
    rid
    -0.75
    ãĤ¹ãĥĪ
    -0.73
    ento
    -0.73
    atum
    -0.73
    itious
    -0.72
    oday
    -0.72
    POSITIVE LOGITS
    00
    0.96
    09
    0.83
    06
    0.81
    08
    0.79
    29
    0.79
    VEL
    0.79
    79
    0.78
    th
    0.78
    05
    0.77
    ATH
    0.77
    Activations Density 0.015%

    No Known Activations