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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. 21088
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    Explanations

    words related to physical movement or action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'w'

    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
     Lumpur
    -0.86
     apprehension
    -0.69
    uate
    -0.69
     depri
    -0.65
    terday
    -0.64
     fracturing
    -0.64
     headache
    -0.64
     unpre
    -0.63
     responsibility
    -0.63
     duplication
    -0.62
    POSITIVE LOGITS
    iggle
    1.21
    ither
    1.21
    atts
    1.15
    alt
    1.14
    atered
    1.12
    affles
    1.11
    ithering
    1.11
    igg
    1.10
    ickets
    1.10
    atson
    1.10
    Activations Density 0.018%

    No Known Activations