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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. 0-RES-JB
    11. 8316
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    Explanations

    verbs and phrases related to forceful movement or action

    oai_token-act-pair · gpt-3.5-turbo

    words related to force and motion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CI
    -0.76
    metics
    -0.73
     Animals
    -0.72
     Oracle
    -0.70
     Families
    -0.69
     Trader
    -0.66
    amate
    -0.66
    family
    -0.65
     Kids
    -0.65
     Colors
    -0.64
    POSITIVE LOGITS
     thrust
    3.96
     Thrust
    2.08
     shaft
    1.30
     climax
    1.22
     ejac
    1.21
     propulsion
    1.13
     propell
    1.10
     shove
    1.07
     impetus
    1.05
     flung
    1.04
    Activations Density 0.025%

    No Known Activations