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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. 7-RES-JB
    11. 8832
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    Explanations

    significant historical dates

    oai_token-act-pair · gpt-3.5-turbo

    specific historical dates and significant years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ancest
    -0.75
    EStreamFrame
    -0.72
    vec
    -0.65
     microscope
    -0.62
    abilia
    -0.61
     Lives
    -0.59
    htaking
    -0.58
     gaze
    -0.57
     GIF
    -0.57
    TE
    -0.57
    POSITIVE LOGITS
     onwards
    1.02
     onward
    0.93
    argo
    0.74
     thereafter
    0.74
    ois
    0.69
    ornings
    0.66
    »Ĵ
    0.64
    iles
    0.63
    fml
    0.63
    anwhile
    0.61
    Activations Density 0.198%

    No Known Activations