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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. 24526
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    INDEX
    Explanations

    exclamations emphasizing enthusiasm or urgency

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory phrases expressing strong emotions or reactions

    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
    ity
    -0.75
    ascus
    -0.74
    iant
    -0.73
    interstitial
    -0.72
    士
    -0.72
    pei
    -0.70
     imposition
    -0.69
    tics
    -0.69
    inks
    -0.65
    âĹ¼
    -0.63
    POSITIVE LOGITS
    ICLE
    0.84
    important
    0.78
    ĸļ
    0.75
    Ħ¢
    0.75
     Password
    0.69
    @@@@@@@@
    0.68
    ^^^^
    0.68
     Written
    0.68
    ahon
    0.67
     !
    0.67
    Activations Density 0.024%

    No Known Activations