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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. 17811
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    Explanations

    long phrases or sentences that contain a mix of letters, numbers, and punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical or social issues

    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
    aves
    -0.87
    Ļ½
    -0.86
    ola
    -0.84
    okia
    -0.83
    asaki
    -0.83
    UA
    -0.83
    WHO
    -0.82
    oes
    -0.82
    rica
    -0.80
    AGES
    -0.80
    POSITIVE LOGITS
     simul
    0.90
     uncons
    0.88
     Im
    0.86
     Instr
    0.80
     dou
    0.78
     Inter
    0.77
     subp
    0.77
     rep
    0.77
     reim
    0.77
     Impro
    0.76
    Activations Density 0.442%

    No Known Activations