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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. 8-RES-JB
    11. 20138
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    Explanations

    phrases related to detailed descriptions or explanations

    oai_token-act-pair · gpt-3.5-turbo

    references to societal or political critiques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     HRC
    -0.65
     incorpor
    -0.64
    aldehyde
    -0.60
     mixer
    -0.57
     breakout
    -0.57
     heavyweight
    -0.55
     horizont
    -0.54
     parity
    -0.53
    ESH
    -0.52
     stall
    -0.51
    POSITIVE LOGITS
     attest
    0.74
    told
    0.71
     wont
    0.71
    Say
    0.70
    Mich
    0.66
    cry
    0.64
    ribed
    0.63
     imply
    0.62
    said
    0.62
     implies
    0.62
    Activations Density 0.736%

    No Known Activations