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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. 9351
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    Explanations

    words related to physical actions or characteristics, specifically ending in -ing

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles related to actions or processes

    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
    Ô
    -0.86
    ipedia
    -0.72
    knit
    -0.71
    fg
    -0.71
    iband
    -0.69
    say
    -0.68
    pps
    -0.67
    asonic
    -0.67
    fi
    -0.67
    skip
    -0.67
    POSITIVE LOGITS
     extraord
    0.97
     spree
    0.92
    tons
    0.88
     prowess
    0.82
     machinery
    0.81
     frenzy
    0.80
     adventures
    0.78
     habits
    0.77
     machines
    0.76
     tendencies
    0.76
    Activations Density 0.118%

    No Known Activations