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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. 15562
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    Explanations

    **unique characteristics or actions performed by individuals.**

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the uniqueness or absence of experience among individuals

    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
    alian
    -0.71
    ahime
    -0.70
     unden
    -0.68
     Locations
    -0.66
    ß
    -0.64
    ãĥ¯
    -0.63
    catentry
    -0.63
    ivities
    -0.63
    ortment
    -0.63
     rall
    -0.63
    POSITIVE LOGITS
    else
    0.84
     knows
    0.82
    kn
    0.78
     bothered
    0.77
    who
    0.71
    afia
    0.70
    lihood
    0.70
     whom
    0.69
     fault
    0.67
     bothering
    0.65
    Activations Density 0.227%

    No Known Activations