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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. 7646
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    Explanations

    phrases related to decision-making

    oai_token-act-pair · gpt-3.5-turbo

    phrases that present alternatives or options

    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
    Tes
    -0.60
    escription
    -0.56
    HEAD
    -0.56
    STE
    -0.54
     Tec
    -0.53
     tremend
    -0.53
    Þ
    -0.53
     rall
    -0.52
     pione
    -0.51
     Scrib
    -0.51
    POSITIVE LOGITS
    not
    0.90
     not
    0.89
     NOT
    0.78
    nam
    0.68
    Not
    0.67
     Marketable
    0.65
     Not
    0.62
    å¦
    0.62
    ados
    0.61
     how
    0.61
    Activations Density 0.013%

    No Known Activations