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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. 9008
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    Explanations

    origins or sources

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "coming from."

    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
    fps
    -0.79
    idav
    -0.69
     Dates
    -0.68
    abeth
    -0.67
    icas
    -0.67
    mouth
    -0.67
    nex
    -0.66
    merce
    -0.65
    fax
    -0.64
    ments
    -0.63
    POSITIVE LOGITS
     nowhere
    1.09
     afar
    1.03
     somewhere
    1.03
     abroad
    1.02
     whence
    0.85
     elsewhere
    0.84
     scratch
    0.84
     obscurity
    0.80
     within
    0.77
     anywhere
    0.75
    Activations Density 0.091%

    No Known Activations