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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. 11-RES-JB
    11. 1031
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    Explanations

    external links or references

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "See" followed by numerical values, typically indicating references or additional content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bably
    -0.76
    icum
    -0.62
    cious
    -0.61
    prime
    -0.61
    osition
    -0.59
    ody
    -0.58
    #$
    -0.57
    ICO
    -0.57
    lied
    -0.57
    versive
    -0.56
    POSITIVE LOGITS
     Also
    1.28
     ALSO
    1.12
     also
    1.08
    ership
    0.92
    Also
    0.84
    also
    0.81
     ya
    0.75
     Photos
    0.71
     how
    0.70
     whats
    0.70
    Activations Density 0.029%

    No Known Activations