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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. 8-RES-JB
    11. 12440
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    Explanations

    references to stamps

    oai_token-act-pair · gpt-3.5-turbo

    references to postage stamps and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kut
    -0.82
    cffffcc
    -0.81
    itably
    -0.75
    izons
    -0.75
    thodox
    -0.73
    SOURCE
    -0.72
    icter
    -0.71
    bid
    -0.70
    apist
    -0.69
    ahime
    -0.68
    POSITIVE LOGITS
    eding
    1.06
     stamps
    0.87
    ing
    0.78
     stamp
    0.78
    uity
    0.77
    arding
    0.74
     duty
    0.74
    uation
    0.74
    ards
    0.72
    iners
    0.70
    Activations Density 0.041%

    No Known Activations