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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. 6-RES-JB
    11. 21916
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    INDEX
    Explanations

    mentions of a specific person's name

    oai_token-act-pair · gpt-3.5-turbo

    references to the Eiffel Tower

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ctica
    -0.70
    igator
    -0.65
    zech
    -0.64
    rily
    -0.63
    igators
    -0.62
    Ocean
    -0.61
     awa
    -0.60
     ashore
    -0.59
    Interstitial
    -0.58
    ACTED
    -0.57
    POSITIVE LOGITS
    iculty
    1.04
    ield
    0.95
    erences
    0.89
    ness
    0.85
    yll
    0.84
    icult
    0.81
    reys
    0.80
    erey
    0.80
    cake
    0.80
    erence
    0.79
    Activations Density 0.022%

    No Known Activations