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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. 7-RES-JB
    11. 8699
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    INDEX
    Explanations

    phrases prompting action or seeking information

    oai_token-act-pair · gpt-3.5-turbo

    inquiries or calls to action seeking information or engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ulton
    -0.87
    mir
    -0.81
    ©¶æ
    -0.74
    runners
    -0.71
    roman
    -0.70
    livious
    -0.69
     [*
    -0.68
    figure
    -0.68
    ysis
    -0.65
    role
    -0.64
    POSITIVE LOGITS
     Want
    0.80
     bookmark
    0.79
     itching
    0.78
     Feeling
    0.77
     Yourself
    0.75
     browsing
    0.72
    ?'
    0.69
    ãĥĦ
    0.68
     itch
    0.67
    ?
    0.67
    Activations Density 0.239%

    No Known Activations