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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. 18685
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    Explanations

    words related to psychological phenomena, specifically repression

    oai_token-act-pair · gpt-3.5-turbo

    words related to repression and distress

    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
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    No Comments

    Negative Logits
     Arbor
    -0.63
     Foss
    -0.63
     raft
    -0.62
     Skip
    -0.61
    rones
    -0.61
     BASE
    -0.61
     Bret
    -0.60
    racuse
    -0.59
     immersion
    -0.58
     Span
    -0.57
    POSITIVE LOGITS
    ressed
    1.03
    ressing
    0.99
    ression
    0.92
    resses
    0.84
    hirt
    0.80
    ional
    0.78
    ROR
    0.78
    ãĥĺ
    0.78
    ressive
    0.76
    ierrez
    0.75
    Activations Density 0.011%

    No Known Activations