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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. 3-RES-JB
    11. 7128
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    Explanations

    action verbs related to decision-making or assertive statements

    oai_token-act-pair · gpt-3.5-turbo

    assertive statements or declarations regarding actions and beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Gray
    -0.74
    llah
    -0.73
    Shape
    -0.69
    Leader
    -0.67
     guiActiveUnfocused
    -0.66
     Gren
    -0.64
     Gau
    -0.62
    ry
    -0.62
     RTX
    -0.59
    icist
    -0.59
    POSITIVE LOGITS
     themselves
    1.01
     selves
    0.86
    selves
    0.83
     mouths
    0.71
     individually
    0.70
    MpServer
    0.70
     ourselves
    0.70
     necks
    0.70
    endez
    0.69
    exempt
    0.69
    Activations Density 0.711%

    No Known Activations