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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. 4-RES-JB
    11. 16525
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    Explanations

    the word "ory" with varying activations, potentially indicating a focus on this specific string of characters

    oai_token-act-pair · gpt-3.5-turbo

    words associated with storytelling or narratives

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

    No Comments

    Negative Logits
    artney
    -0.80
    usher
    -0.79
    engers
    -0.76
     Archdemon
    -0.66
    Catal
    -0.65
     smugglers
    -0.65
     fri
    -0.64
     Rebels
    -0.64
    inoa
    -0.63
     platinum
    -0.63
    POSITIVE LOGITS
     Ort
    0.82
    ory
    0.80
    anka
    0.79
    pheus
    0.74
    akov
    0.72
    heastern
    0.72
    y
    0.71
    craft
    0.71
    lation
    0.70
    ona
    0.70
    Activations Density 0.014%

    No Known Activations