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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. 10-RES-JB
    11. 10175
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    INDEX
    Explanations

    comparisons between quantities or qualities

    oai_token-act-pair · gpt-3.5-turbo

    comparative concepts related to size, quantity, and demographic differences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    escription
    -0.62
    estern
    -0.61
     reluct
    -0.59
    DragonMagazine
    -0.57
    ãĥĻ
    -0.57
    hea
    -0.56
    gradient
    -0.56
    oken
    -0.55
    details
    -0.54
     immunity
    -0.54
    POSITIVE LOGITS
     combined
    1.03
     ever
    0.96
     anymore
    0.83
     nor
    0.81
    average
    0.77
     admit
    0.77
     existed
    0.76
    ().
    0.75
     counterparts
    0.75
     EVER
    0.74
    Activations Density 0.233%

    No Known Activations