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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of the word "ton" with intensity grade 9 or higher

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "ton"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    代
    -0.69
    lik
    -0.68
     actionGroup
    -0.67
    BILITIES
    -0.66
    saf
    -0.65
     counselor
    -0.65
     circum
    -0.62
     counselors
    -0.60
    ACTED
    -0.60
    Vi
    -0.59
    POSITIVE LOGITS
    ton
    1.19
    hyde
    1.10
    neau
    1.07
    tons
    1.01
    tery
    0.98
    igans
    0.95
    ville
    0.94
    mont
    0.93
    atoes
    0.92
    leigh
    0.89
    Activations Density 0.009%

    No Known Activations