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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. 1-RES-JB
    11. 20680
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    Explanations

    words related to kitchen appliances, especially blenders, focused on 'icer' and 'icc' combinations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific suffixes related to roles, identities, or professions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.84
    luaj
    -0.80
    ĪĴ
    -0.79
    ĵĺ
    -0.77
    cipled
    -0.73
    ers
    -0.72
     Ago
    -0.71
    ĸļ
    -0.70
    sticks
    -0.70
    MpServer
    -0.67
    POSITIVE LOGITS
    ocker
    1.02
    imated
    0.73
     Mehran
    0.71
    ALLY
    0.68
    endered
    0.67
    anamo
    0.65
    igers
    0.65
    uder
    0.63
    ocking
    0.63
    atively
    0.63
    Activations Density 0.019%

    No Known Activations