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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. 9-RES-JB
    11. 9890
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    Explanations

    words related to negative or controversial topics

    oai_token-act-pair · gpt-3.5-turbo

    words related to negative societal issues and controversies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lished
    -0.76
    cipled
    -0.74
    stood
    -0.70
    TPPStreamerBot
    -0.67
     uphill
    -0.67
     decorated
    -0.66
     readable
    -0.66
    cised
    -0.64
    ĸļ
    -0.63
    FUL
    -0.63
    POSITIVE LOGITS
    ieties
    1.20
    usions
    1.12
    otypes
    1.11
    tones
    1.11
    aunts
    1.11
    acies
    1.11
    acements
    1.11
    isms
    1.10
    ancies
    1.06
    ocations
    1.05
    Activations Density 0.495%

    No Known Activations