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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 24004
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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
    xual
    -0.84
     Kardashian
    -0.75
     Painter
    -0.75
    nings
    -0.71
    iors
    -0.70
     Wildcats
    -0.69
    oÄŁ
    -0.69
     Tackle
    -0.67
    kers
    -0.67
     Skinner
    -0.65
    POSITIVE LOGITS
    urg
    0.92
    alach
    0.90
    alg
    0.88
    olith
    0.83
    cedented
    0.82
    aeus
    0.82
    rowth
    0.81
    algia
    0.80
    uilt
    0.80
    azel
    0.79
    Activations Density 0.022%

    No Known Activations