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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. 7983
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    adier
    -0.72
    raine
    -0.67
    issions
    -0.66
    ickr
    -0.66
    acter
    -0.65
    ktop
    -0.65
    bourg
    -0.63
    gran
    -0.63
    igsaw
    -0.63
    lished
    -0.62
    POSITIVE LOGITS
    ingly
    1.03
    ness
    0.87
    ledge
    0.82
     ignorant
    0.80
     innocence
    0.76
    uania
    0.75
    nesses
    0.73
    lect
    0.72
    blind
    0.69
     oblivious
    0.68
    Activations Density 0.053%

    No Known Activations