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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. 4-RES-JB
    11. 11263
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    numerical values separated by dots

    oai_token-act-pair · gpt-3.5-turbo

    numeric codes or identifiers

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

    No Comments

    Negative Logits
    estine
    -0.85
    esan
    -0.84
    arching
    -0.80
    auri
    -0.72
    drawn
    -0.70
    swick
    -0.68
    fman
    -0.68
    asts
    -0.67
    burning
    -0.66
    mac
    -0.64
    POSITIVE LOGITS
    0002
    0.83
    OPLE
    0.81
     ppm
    0.74
    0100
    0.74
    ĸļ
    0.74
    chell
    0.73
     è£ıè¦ļéĨĴ
    0.73
    =#
    0.73
    013
    0.73
     Flavoring
    0.72
    Activations Density 0.018%

    No Known Activations