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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. 9307
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    Explanations

    phrases related to physical interactions such as holding, looking, seeing, and physically supporting someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating physical actions or interactions involving movement and closeness

    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
     substituted
    -0.67
     WRITE
    -0.65
    Reviewed
    -0.63
     Artemis
    -0.63
     Affect
    -0.63
    fried
    -0.62
    aret
    -0.61
    Spawn
    -0.59
    SPONSORED
    -0.58
     rewritten
    -0.57
    POSITIVE LOGITS
    arest
    0.73
    friend
    0.70
    oké
    0.67
    iss
    0.66
    quez
    0.64
    escription
    0.64
    onz
    0.64
    anchester
    0.64
    andering
    0.63
    azy
    0.63
    Activations Density 0.410%

    No Known Activations