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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. 1970
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    INDEX
    Explanations

    phrases containing the word "remark"

    oai_token-act-pair · gpt-3.5-turbo

    words associated with comments or statements made by individuals

    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
    anchez
    -0.74
    uga
    -0.68
     turf
    -0.66
    avid
    -0.66
    ccording
    -0.66
    ichick
    -0.65
    ctica
    -0.65
    paren
    -0.64
    heast
    -0.63
     indic
    -0.63
    POSITIVE LOGITS
     remark
    0.92
    ously
    0.85
    ry
    0.80
    liness
    0.79
    rey
    0.78
    osal
    0.78
    uated
    0.77
    ysis
    0.74
    ĸļ
    0.71
    eting
    0.71
    Activations Density 0.023%

    No Known Activations