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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. 1-RES-JB
    11. 975
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    Explanations

    words related to actions or events happening again or repeatedly

    oai_token-act-pair · gpt-3.5-turbo

    words related to occurrences and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dumps
    -0.73
     Tate
    -0.65
    si
    -0.63
     Ik
    -0.63
    erion
    -0.62
     snipp
    -0.59
     Feder
    -0.59
     administered
    -0.59
    sa
    -0.58
    chemy
    -0.58
    POSITIVE LOGITS
    urring
    1.22
    urred
    1.12
    rences
    1.07
    urs
    0.92
    faces
    0.91
    prise
    0.88
    iously
    0.88
    interstitial
    0.87
    SHIP
    0.80
    ually
    0.78
    Activations Density 0.015%

    No Known Activations