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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. 4-RES-JB
    11. 4863
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    itals
    -0.88
    ummer
    -0.80
    rica
    -0.78
    forestation
    -0.77
    nature
    -0.77
    gradation
    -0.73
    uchin
    -0.73
     livest
    -0.72
    olds
    -0.72
    apt
    -0.72
    POSITIVE LOGITS
     grievances
    1.31
     grievance
    1.19
     vend
    0.84
     flared
    0.80
     flare
    0.80
    rieved
    0.78
     discont
    0.77
     redress
    0.76
     frustrations
    0.76
     resentment
    0.75
    Activations Density 0.023%

    No Known Activations