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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. 11-RES-JB
    11. 4140
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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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Attention
    -0.71
    eous
    -0.68
    oidal
    -0.66
     Straw
    -0.66
    ambo
    -0.64
    gall
    -0.63
    conscious
    -0.63
    ouch
    -0.61
     ingred
    -0.60
    workshop
    -0.58
    POSITIVE LOGITS
     expires
    1.43
     lasted
    1.30
     lasts
    1.27
     expire
    1.21
     expired
    1.20
     ended
    1.11
     elapsed
    1.09
     ends
    1.09
     spans
    1.06
     culminated
    1.01
    Activations Density 0.263%

    No Known Activations