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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. 8318
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    Explanations

    words related to specific entities or names ending with 'nery' such as "Flannery"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to seminary or religious education

    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
    aic
    -0.77
    idem
    -0.73
     plur
    -0.69
    chairs
    -0.68
     redeem
    -0.68
     anonymity
    -0.65
    ivity
    -0.63
    airs
    -0.62
    eed
    -0.61
     idle
    -0.61
    POSITIVE LOGITS
    inary
    0.97
    chio
    0.84
    quished
    0.80
    ãĤ´ãĥ³
    0.75
    cipled
    0.75
     Princ
    0.72
    ricanes
    0.71
    riors
    0.70
    terness
    0.70
    cemic
    0.70
    Activations Density 0.033%

    No Known Activations