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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. 7013
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    tumblr
    -0.71
     unfocusedRange
    -0.69
     completion
    -0.67
     womb
    -0.66
     AQ
    -0.64
    rities
    -0.63
     favor
    -0.63
    ãĥŁ
    -0.63
     sake
    -0.62
     DACA
    -0.62
    POSITIVE LOGITS
    assi
    0.84
    arde
    0.79
    uner
    0.79
    igl
    0.76
     apologised
    0.76
    chev
    0.75
    olini
    0.74
    wine
    0.72
    eyes
    0.71
    enh
    0.70
    Activations Density 0.159%

    No Known Activations