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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6663
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    Explanations

    instances of the word "Nar" or "nar" at different activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the character Naruto

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pixie
    -0.84
     Canary
    -0.77
     Democr
    -0.72
     Extrem
    -0.71
    xual
    -0.69
    ORED
    -0.68
    eous
    -0.67
     Giuliani
    -0.66
     VIDEOS
    -0.65
    UCT
    -0.65
    POSITIVE LOGITS
    ration
    1.07
    rils
    0.97
    ayan
    0.94
    uno
    0.90
    ril
    0.90
    opa
    0.89
    vik
    0.89
    stal
    0.89
    aku
    0.88
    vati
    0.86
    Activations Density 0.026%

    No Known Activations