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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. 9-RES-JB
    11. 16142
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    Explanations

    prepositions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to preparation or preemptive actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬
    -0.81
     Albion
    -0.69
    ktop
    -0.69
     Butterfly
    -0.68
    âĸ¬âĸ¬
    -0.68
     independents
    -0.67
    scape
    -0.67
    Reviewer
    -0.66
    âĢ¢âĢ¢
    -0.65
     defe
    -0.62
    POSITIVE LOGITS
    oster
    1.46
    ubes
    1.29
    onder
    1.28
    ublic
    1.26
    aired
    1.08
    regnancy
    1.03
    otent
    1.01
    ulse
    0.98
    ared
    0.97
    ursed
    0.96
    Activations Density 0.023%

    No Known Activations