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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. 4-RES-JB
    11. 19453
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    Explanations

    proper names, especially related to Indian cinema and individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals' names, particularly notable figures

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

    No Comments

    Negative Logits
    ument
    -0.69
     Bundy
    -0.69
    untu
    -0.69
    strap
    -0.66
    ichick
    -0.65
    ancial
    -0.65
    hement
    -0.64
     detach
    -0.63
    fig
    -0.61
    agers
    -0.61
    POSITIVE LOGITS
    inia
    0.81
    croft
    0.78
    JP
    0.76
    eas
    0.74
    mA
    0.72
    ourney
    0.72
    ONY
    0.69
    bda
    0.67
     Palestin
    0.66
    lein
    0.66
    Activations Density 0.021%

    No Known Activations