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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. 9-RES-JB
    11. 9928
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    Explanations

    phrases related to statistics or numerical data

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data collection and transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.88
    coat
    -0.77
    arity
    -0.74
     unity
    -0.67
    lins
    -0.66
     coat
    -0.65
    ALLY
    -0.63
     embryonic
    -0.61
    atalie
    -0.61
    odox
    -0.60
    POSITIVE LOGITS
    peed
    0.97
     payable
    0.96
     occurring
    0.96
     involving
    0.93
    paces
    0.93
     originating
    0.93
    hips
    0.92
     performed
    0.91
     conducted
    0.90
     undertaken
    0.90
    Activations Density 0.424%

    No Known Activations