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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. 11-RES-JB
    11. 6281
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    Explanations

    words related to film production and credits such as "director" or "producer"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names related to people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.82
    BILITIES
    -0.71
     para
    -0.61
     lapt
    -0.60
     tandem
    -0.58
    ername
    -0.58
     congress
    -0.56
     feder
    -0.55
     applic
    -0.55
    iaries
    -0.55
    POSITIVE LOGITS
    inki
    1.04
    schild
    0.96
    gow
    0.84
    beck
    0.83
    puff
    0.77
    abee
    0.76
    brand
    0.76
    ftime
    0.75
    stad
    0.74
    sung
    0.74
    Activations Density 0.259%

    No Known Activations