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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
    11. 16123
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    Explanations

    proper nouns related to locations, particularly those ending with '-rington'

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or proper nouns

    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
     scarcity
    -0.71
    ntil
    -0.70
    Ü
    -0.70
     masc
    -0.70
     perspect
    -0.67
    alus
    -0.67
     cowork
    -0.66
     veter
    -0.66
     midterm
    -0.66
     brace
    -0.65
    POSITIVE LOGITS
    hurst
    1.07
    ingham
    1.05
    rington
    1.03
    shire
    0.92
    666
    0.90
    ertodd
    0.89
    iard
    0.89
    ennett
    0.86
    gren
    0.83
     Abbey
    0.83
    Activations Density 0.024%

    No Known Activations