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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. 12705
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    Explanations

    mentions of personal information or experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to personal matters or personal information

    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
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.07
    UMP
    -0.76
    vous
    -0.73
    UP
    -0.72
    REG
    -0.71
    ensen
    -0.68
    ĸļ
    -0.66
    YP
    -0.66
    DERR
    -0.66
    amus
    -0.65
    POSITIVE LOGITS
    ised
    1.26
    ization
    1.13
    ities
    1.12
    ized
    1.09
    isation
    1.05
     belongings
    1.05
    izing
    1.04
    izations
    1.02
     hygiene
    1.01
    isations
    0.98
    Activations Density 0.044%

    No Known Activations