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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. 7-RES-JB
    11. 19405
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    Explanations

    phrases related to actions or responsibilities taken by individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases focusing on actions and responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.75
     suspects
    -0.70
    inently
    -0.68
    licted
    -0.68
    tur
    -0.67
    pter
    -0.65
     healed
    -0.63
    hog
    -0.61
    bent
    -0.61
    printed
    -0.59
    POSITIVE LOGITS
    pez
    1.04
    etting
    0.73
     differently
    0.71
     succeed
    0.71
    ggy
    0.70
    berman
    0.67
    ãĥ¼ãĤ¯
    0.67
     wrong
    0.66
     unconsciously
    0.66
    lege
    0.65
    Activations Density 0.053%

    No Known Activations