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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. 6-RES-JB
    11. 7460
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    Explanations

    references to items or concepts related to low cost or budget

    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
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.88
    andise
    -0.82
    ilage
    -0.69
    itutional
    -0.69
    ADRA
    -0.67
    ophers
    -0.67
    arium
    -0.67
     Ashe
    -0.66
     Orient
    -0.66
    aurus
    -0.65
    POSITIVE LOGITS
    ppy
    0.83
    est
    0.83
     enough
    0.82
    ered
    0.81
     hanging
    0.79
    enthal
    0.78
     pitched
    0.78
     (<
    0.77
    ball
    0.76
     priced
    0.75
    Activations Density 0.032%

    No Known Activations