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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. 11631
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    Explanations

    financial and administrative records related to various business and personal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of records and biases

    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
    ãĥį
    -0.64
    Reviewer
    -0.63
     Lent
    -0.63
    ËĪ
    -0.60
    è£ħ
    -0.56
    noon
    -0.54
     retract
    -0.53
    APP
    -0.52
    Ö
    -0.52
    nick
    -0.51
    POSITIVE LOGITS
     etc
    1.53
    etc
    1.07
     respectively
    0.77
     thereof
    0.74
    âĢ¦)
    0.71
     ect
    0.70
    ,...
    0.70
    ĪĴ
    0.69
     extraord
    0.68
     blah
    0.67
    Activations Density 0.385%

    No Known Activations