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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. 3-RES-JB
    11. 16885
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    Explanations

    phrases related to specific names or places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific names and entities associated with biological and sporting contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.78
    alien
    -0.77
     crawl
    -0.77
    rils
    -0.76
    alez
    -0.75
    unal
    -0.73
    umper
    -0.71
    Magikarp
    -0.69
    cone
    -0.69
    paralle
    -0.66
    POSITIVE LOGITS
    sburg
    1.00
     Maxwell
    0.84
    intage
    0.82
    igans
    0.76
    iated
    0.73
    inav
    0.72
    iation
    0.71
    stones
    0.71
     Medal
    0.70
    256
    0.68
    Activations Density 0.022%

    No Known Activations