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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 905
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    Explanations

    proper nouns related to politics or specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Russ" or its variations, particularly in relation to sports figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conspicuous
    -0.80
    mable
    -0.73
    nce
    -0.73
    undai
    -0.65
    ÄŁ
    -0.63
    enment
    -0.63
    tics
    -0.62
     decipher
    -0.62
    headed
    -0.61
    ··
    -0.61
    POSITIVE LOGITS
     Russ
    0.93
    aldo
    0.90
    illo
    0.88
    ault
    0.85
    Russ
    0.84
    uese
    0.84
    akov
    0.81
    dor
    0.78
    isl
    0.78
    achev
    0.77
    Activations Density 0.009%

    No Known Activations