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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. 0-RES-JB
    11. 18006
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    INDEX
    Explanations

    the name "Fi" with numerical ratings indicating different degrees of match

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or recurring names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chuk
    -0.74
     dehyd
    -0.71
    wcsstore
    -0.71
     cle
    -0.70
    irling
    -0.70
    cade
    -0.69
    ortment
    -0.69
    kward
    -0.66
    latable
    -0.65
    merga
    -0.64
    POSITIVE LOGITS
     Fi
    2.05
    arant
    1.69
    900
    1.42
    ocus
    1.15
    BN
    1.10
    abit
    1.06
     omn
    0.97
    ord
    0.95
     Factory
    0.91
     Wolfe
    0.87
    Activations Density 0.034%

    No Known Activations