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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. 15458
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    Explanations

    mentions of a specific individual named "Ackerman" at varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    the name "Herman" in various contexts

    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
    akening
    -0.68
     Thumbnails
    -0.65
    avis
    -0.63
    OPS
    -0.63
    ivia
    -0.62
     Fou
    -0.61
    alore
    -0.61
    uca
    -0.59
    cart
    -0.58
    ñ
    -0.57
    POSITIVE LOGITS
    wald
    0.93
    stein
    0.87
    n
    0.84
    ner
    0.82
    alties
    0.82
    lich
    0.82
    nant
    0.81
    alty
    0.80
    thal
    0.80
    enthal
    0.79
    Activations Density 0.008%

    No Known Activations