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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. 11-RES-JB
    11. 1069
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    Explanations

    terms related to electrical components, specifically focusing on the term "amp" with varying degrees of activation

    oai_token-act-pair · gpt-3.5-turbo

    variations or mentions of the word "amp," likely related to amphetamines or similar substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SHIP
    -0.97
    DOM
    -0.75
    REDACTED
    -0.66
    BLIC
    -0.65
     groom
    -0.64
     Kers
    -0.63
    ALLY
    -0.59
     Sass
    -0.58
     keynote
    -0.58
    lift
    -0.57
    POSITIVE LOGITS
    aign
    1.44
    hetamine
    1.32
    agne
    1.23
    osite
    1.19
    oline
    1.16
    eters
    1.12
    oons
    1.05
    agna
    1.02
    reys
    1.02
    olit
    0.99
    Activations Density 0.049%

    No Known Activations