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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. 4-RES-JB
    11. 12610
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    INDEX
    Explanations

    mentions of time, events, and actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to urgency and potential consequences

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

    No Comments

    Negative Logits
    mentioned
    -0.46
     Kaiser
    -0.45
     refers
    -0.44
     denotes
    -0.44
    neapolis
    -0.44
     reminds
    -0.42
    oneliness
    -0.42
     reminded
    -0.42
     consisted
    -0.42
     IRC
    -0.40
    POSITIVE LOGITS
    .).
    0.66
    )).
    0.63
    ]."
    0.60
     someday
    0.60
    ".[
    0.60
    usercontent
    0.59
    ".
    0.58
    ).[
    0.58
    atever
    0.56
    !".
    0.56
    Activations Density 4.080%

    No Known Activations