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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. 8-RES-JB
    11. 14157
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    INDEX
    Explanations

    situations where something is being partially revealed or observed briefly

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to the act of looking or observing

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    minus
    -0.78
    ict
    -0.74
    Interstitial
    -0.72
    Decl
    -0.68
    ãĥĨ
    -0.68
    iction
    -0.66
    anchester
    -0.66
    gren
    -0.65
    ãĤ·ãĥ£
    -0.64
    ŀ
    -0.63
    POSITIVE LOGITS
     peek
    1.07
     glimps
    0.91
    lights
    0.88
    ibly
    0.84
    hole
    0.78
    holes
    0.77
     holes
    0.76
     away
    0.75
     passers
    0.73
     wink
    0.73
    Activations Density 0.106%

    No Known Activations