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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. 10-RES-JB
    11. 16434
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    Explanations

    terms related to threats or commands with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    themes related to conflict and violence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onductor
    -0.58
     observable
    -0.57
     circular
    -0.56
     varied
    -0.56
     telescope
    -0.56
     structural
    -0.55
     supplemented
    -0.54
     prospect
    -0.53
     Macro
    -0.53
    earcher
    -0.53
    POSITIVE LOGITS
    !".
    1.38
    !",
    1.22
    !"
    1.16
    "?
    1.15
    "!
    1.13
    !!"
    1.13
    ".
    1.11
    !'
    1.09
    .''
    1.09
    !'"
    1.07
    Activations Density 0.414%

    No Known Activations