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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. 5991
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    Explanations

    titles and names of representatives in the context of official government statements

    oai_token-act-pair · gpt-3.5-turbo
    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
    istically
    -0.76
     commercially
    -0.74
     managerial
    -0.70
    ahime
    -0.66
     modem
    -0.66
     civilisation
    -0.65
     underpin
    -0.65
     prem
    -0.65
    EStreamFrame
    -0.64
     defences
    -0.64
    POSITIVE LOGITS
     Michele
    1.11
     Trey
    1.06
    osponsors
    1.05
     Louie
    1.05
     Elijah
    1.02
     Darrell
    1.01
     Tuls
    1.00
     Issa
    0.97
     Sheila
    0.93
     Lamar
    0.93
    Activations Density 0.059%

    No Known Activations