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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. 3-RES-JB
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    Explanations

    mentions of the word "tiger"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tiger."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĵĺ
    -0.74
    erest
    -0.71
    selves
    -0.67
    soDeliveryDate
    -0.66
    WHERE
    -0.65
     sorry
    -0.64
    contact
    -0.62
    iversal
    -0.62
    ecause
    -0.62
     assuming
    -0.60
    POSITIVE LOGITS
    iger
    1.31
    gers
    0.89
    oglu
    0.86
    osity
    0.80
    ous
    0.79
    ger
    0.78
    indal
    0.78
    icus
    0.77
    ously
    0.76
    tarians
    0.75
    Activations Density 0.012%

    No Known Activations