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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. 6-RES-JB
    11. 920
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    INDEX
    Explanations

    phrases related to survey results or statistics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of survey respondents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cop
    -0.74
     Sabb
    -0.73
     Apocalypse
    -0.69
    rament
    -0.68
    rip
    -0.68
     Flags
    -0.68
     Sabha
    -0.68
     Stew
    -0.68
    cop
    -0.67
     Scal
    -0.67
    POSITIVE LOGITS
     respondents
    0.93
     respondent
    0.92
     answ
    0.83
    uggest
    0.80
     interviewed
    0.78
     surveys
    0.77
    ixty
    0.76
     surveyed
    0.76
     answered
    0.74
     fielded
    0.73
    Activations Density 0.041%

    No Known Activations