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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. 405
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    INDEX
    Explanations

    causal relationships or logical conclusions between events or actions

    oai_token-act-pair · gpt-3.5-turbo

    logical conjunctions and cause-effect phrases

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ament
    -0.70
    UGH
    -0.68
    iny
    -0.67
    ISION
    -0.64
    kson
    -0.64
     Golf
    -0.64
    igger
    -0.64
    ousel
    -0.64
    rition
    -0.63
     Rugby
    -0.63
    POSITIVE LOGITS
    forth
    1.32
     deserve
    0.95
     deserves
    0.86
     qualify
    0.86
     qualifies
    0.83
     subjected
    0.81
     contam
    0.79
     prevented
    0.77
     excludes
    0.77
     necess
    0.77
    Activations Density 0.030%

    No Known Activations