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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. 24010
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    Explanations

    interesting or noteworthy information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "Interestingly" or "Oddly" signaling a commentary on unexpected observations

    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
    halla
    -0.76
    omination
    -0.68
    angler
    -0.66
    chairs
    -0.65
    vae
    -0.65
    area
    -0.63
    division
    -0.63
    arge
    -0.63
    afety
    -0.62
    otta
    -0.62
    POSITIVE LOGITS
     enough
    1.31
    nown
    0.88
     though
    0.86
     Enough
    0.85
     absent
    0.84
    enough
    0.83
    beit
    0.79
     speaking
    0.74
     interestingly
    0.71
     timed
    0.71
    Activations Density 0.056%

    No Known Activations