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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. 6973
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    Explanations

    phrases related to making formal requests or demands

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "call" in various contexts

    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
    cia
    -0.67
     istg
    -0.66
    qua
    -0.63
    umber
    -0.61
    unknown
    -0.59
    inth
    -0.59
    Lago
    -0.59
    Flo
    -0.59
    arger
    -0.59
    oult
    -0.59
    POSITIVE LOGITS
     attention
    1.01
    phas
    0.98
     forth
    0.85
    igraph
    0.84
     Attention
    0.82
     bluff
    0.78
     upon
    0.77
     aloud
    0.73
     911
    0.73
    enance
    0.72
    Activations Density 0.061%

    No Known Activations