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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. 7-RES-JB
    11. 21669
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ĸļ
    -0.81
    ctica
    -0.74
    edom
    -0.73
    ciation
    -0.71
    endars
    -0.69
    ngth
    -0.69
    idth
    -0.66
     Adin
    -0.61
    rency
    -0.60
    jri
    -0.59
    POSITIVE LOGITS
    EStream
    0.60
    DragonMagazine
    0.59
     View
    0.58
     Logged
    0.58
    uls
    0.54
    CLASS
    0.52
    Med
    0.52
    Weiss
    0.51
    animous
    0.50
     ms
    0.50
    Activations Density 0.197%

    No Known Activations