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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. 8-RES-JB
    11. 11122
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    Explanations

    phrases related to locations or situations that are in the middle

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe being "in the middle of" various situations or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.78
    OY
    -0.71
    posts
    -0.67
    ants
    -0.67
    arity
    -0.67
    ical
    -0.66
    clips
    -0.65
     assumes
    -0.64
    ALT
    -0.63
     Cosponsors
    -0.63
    POSITIVE LOGITS
     nowhere
    1.28
     snowy
    0.74
     brainstorm
    0.74
     fray
    0.73
     woods
    0.72
     bustling
    0.71
     raging
    0.71
     ditch
    0.69
     winter
    0.67
     roaring
    0.66
    Activations Density 0.059%

    No Known Activations