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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. 8-RES-JB
    11. 23611
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    Explanations

    names of individuals, especially those involved in political or sports-related contexts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bage
    -0.76
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.70
    netflix
    -0.66
    veland
    -0.64
    gypt
    -0.63
    gel
    -0.61
    steen
    -0.61
    isted
    -0.61
    ritch
    -0.61
     Helpful
    -0.61
    POSITIVE LOGITS
    ooth
    0.74
     Sabha
    0.60
    adish
    0.59
    ailability
    0.58
    utenberg
    0.58
    obin
    0.57
     Emirates
    0.56
    acist
    0.56
    riage
    0.55
    ½
    0.54
    Activations Density 0.193%

    No Known Activations