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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. 9156
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    INDEX
    Explanations

    mentions of the word "Helm" with varying importance levels

    oai_token-act-pair · gpt-3.5-turbo

    references to a character named "Helm" or similar terms within the text

    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
    riad
    -0.99
    onomy
    -0.82
    detail
    -0.78
    card
    -0.76
     IMAGES
    -0.73
    amine
    -0.72
    leness
    -0.70
    println
    -0.70
    feat
    -0.69
    enance
    -0.69
    POSITIVE LOGITS
    yna
    0.82
     exha
    0.81
    ENA
    0.80
    ets
    0.80
    idon
    0.78
    ensen
    0.78
    TPPStreamerBot
    0.77
    uth
    0.77
    ETS
    0.75
    ODY
    0.74
    Activations Density 0.009%

    No Known Activations