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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. 12300
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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
    Not in Any Lists

    No Comments

    Negative Logits
    acca
    -0.94
    icable
    -0.84
    atical
    -0.83
    iday
    -0.83
    icum
    -0.83
    anchester
    -0.81
    ocular
    -0.74
    acts
    -0.74
    iped
    -0.74
    rador
    -0.74
    POSITIVE LOGITS
    ment
    0.94
    phal
    0.92
    llor
    0.81
    lessly
    0.75
    ance
    0.69
     Gael
    0.68
     Lauder
    0.67
    lement
    0.67
     Vict
    0.67
    ence
    0.67
    Activations Density 0.030%

    No Known Activations