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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. 7123
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to media production and personal experience

    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
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    No Comments

    Negative Logits
     looph
    -0.72
    anwhile
    -0.64
    æ©
    -0.58
    itialized
    -0.56
    negie
    -0.55
    ibur
    -0.52
    olean
    -0.51
    escription
    -0.50
    aina
    -0.49
    ropolitan
    -0.49
    POSITIVE LOGITS
    ?,
    0.75
    ,...
    0.73
    /,
    0.70
    ,—
    0.69
    .....
    0.68
    âĢ¦
    0.68
     please
    0.68
     arises
    0.68
    ?",
    0.68
    ...?
    0.68
    Activations Density 0.550%

    No Known Activations