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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. 2-RES-JB
    11. 5247
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    cooking measurement terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Halls
    -0.80
    GROUND
    -0.75
     GOODMAN
    -0.70
    phrine
    -0.68
     Frie
    -0.67
    phal
    -0.66
    hower
    -0.64
    proof
    -0.63
    mand
    -0.63
    POL
    -0.63
    POSITIVE LOGITS
    hered
    0.98
    .,
    0.97
    eno
    0.96
    icago
    0.89
    ./
    0.85
    nyder
    0.82
    aps
    0.80
    hers
    0.78
    .?
    0.78
    iece
    0.77
    Activations Density 0.012%

    No Known Activations