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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. 23832
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    Explanations

    proper nouns or specific names related to different categories or industries

    oai_token-act-pair · gpt-3.5-turbo

    references to examples or instances of something

    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
     exting
    -0.85
     tiss
    -0.83
    ò
    -0.78
    ccording
    -0.76
     oun
    -0.75
     destro
    -0.75
    ß
    -0.72
     withd
    -0.71
    ortunately
    -0.70
     rul
    -0.68
    POSITIVE LOGITS
     as
    1.11
    as
    0.81
    As
    0.75
    asher
    0.67
     As
    0.64
    asant
    0.61
     AS
    0.58
    auntlets
    0.54
    asar
    0.54
    ais
    0.54
    Activations Density 0.034%

    No Known Activations