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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. 12473
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    INDEX
    Explanations

    phrases related to people's names, possibly in a journalistic context

    oai_token-act-pair · gpt-3.5-turbo

    names or terms related to people or characters

    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
    Not in Any Lists

    No Comments

    Negative Logits
    pick
    -0.80
    mop
    -0.76
    wolves
    -0.72
    paren
    -0.71
    balance
    -0.70
    picking
    -0.69
    matically
    -0.68
    ty
    -0.67
    olation
    -0.67
    sheet
    -0.67
    POSITIVE LOGITS
    ñ
    1.25
    ÅŁ
    1.17
    uthor
    1.11
    ppa
    1.09
    ð
    1.09
    zza
    1.08
    qt
    1.07
    BILITY
    1.07
    eva
    1.05
    ÄŁ
    1.04
    Activations Density 0.209%

    No Known Activations