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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. 11-RES-JB
    11. 11164
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    Explanations

    phrases related to deception and manipulation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fear and manipulation of the public

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     stabilization
    -0.56
     ausp
    -0.56
    inelli
    -0.56
     illumination
    -0.55
     Featured
    -0.54
    ITNESS
    -0.54
    ternity
    -0.54
     advis
    -0.53
    HUD
    -0.53
    folios
    -0.53
    POSITIVE LOGITS
     into
    1.29
     Into
    1.14
    into
    1.04
     INTO
    1.04
     enough
    0.89
     merciless
    0.84
    selves
    0.82
     onto
    0.78
     gull
    0.77
     unnecessarily
    0.77
    Activations Density 0.354%

    No Known Activations