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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. 18150
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to current laws, regulations, and methodologies in various fields

    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
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    No Comments

    Negative Logits
    liga
    -0.67
    DERR
    -0.63
     Sat
    -0.59
    upper
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     extraord
    -0.57
    sung
    -0.56
    utherland
    -0.56
    atan
    -0.55
    ensitivity
    -0.55
     instantaneous
    -0.55
    POSITIVE LOGITS
    frames
    0.80
     parad
    0.79
    ologies
    0.77
     architectures
    0.73
     paradigm
    0.72
    Reviewer
    0.70
     incarnation
    0.68
     precedent
    0.67
     trajectory
    0.66
     eras
    0.65
    Activations Density 0.482%

    No Known Activations