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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5663
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    aturdays
    -0.55
    iates
    -0.52
    heny
    -0.51
    inav
    -0.51
    uese
    -0.49
    anwhile
    -0.49
    enture
    -0.49
     congr
    -0.48
     traged
    -0.48
    edIn
    -0.48
    POSITIVE LOGITS
    nt
    0.91
     supposed
    0.79
     definitely
    0.77
     hereby
    0.73
     unlikely
    0.73
     not
    0.71
     NOT
    0.70
    senal
    0.69
     still
    0.69
     gonna
    0.68
    Activations Density 0.712%

    No Known Activations