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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. 17636
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    Explanations

    adjectives or adverbs depicting extreme qualities

    oai_token-act-pair · gpt-3.5-turbo

    adjectives that describe negative or extreme conditions

    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
    zsche
    -0.61
    OPS
    -0.60
    ighth
    -0.60
    Ô
    -0.59
     secondary
    -0.59
    çĽ
    -0.59
    ¦
    -0.58
    Pope
    -0.56
     readings
    -0.56
     permitting
    -0.55
    POSITIVE LOGITS
    amus
    0.78
    ially
    0.73
    atically
    0.70
    !!!!!!!!
    0.69
    yip
    0.69
    ly
    0.68
    !!!!
    0.68
    idious
    0.67
    iated
    0.67
    ciating
    0.67
    Activations Density 0.131%

    No Known Activations