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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. 9-RES-JB
    11. 3083
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    Explanations

    references to a specific brand or product named "Fire"

    oai_token-act-pair · gpt-3.5-turbo

    the term "Fire 2" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.81
    eter
    -0.69
     Morg
    -0.68
    edy
    -0.66
    xus
    -0.64
     Lans
    -0.64
    eday
    -0.62
     Asuka
    -0.62
     Yen
    -0.61
    ocide
    -0.57
    POSITIVE LOGITS
    flies
    1.35
    fighter
    1.29
    fighters
    1.24
    storm
    1.17
    balls
    1.10
    fly
    1.08
    fighting
    1.08
    proof
    1.07
    fight
    1.06
    storms
    1.03
    Activations Density 0.037%

    No Known Activations