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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. 9-RES-JB
    11. 20073
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    Explanations

    instructions or steps related to physical movements or actions

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to physical activities or movements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     folklore
    -0.72
    fam
    -0.72
     Genetics
    -0.68
     microbi
    -0.67
     Cult
    -0.64
     synd
    -0.64
     Charity
    -0.64
     Pharmac
    -0.64
     Monthly
    -0.63
     recipes
    -0.63
    POSITIVE LOGITS
     crou
    1.14
     perpendicular
    1.13
     perpend
    1.09
     stationary
    1.07
     braking
    1.05
     angled
    1.05
     manoeuv
    1.03
     diseng
    1.02
     directional
    1.02
     maneuver
    1.02
    Activations Density 1.084%

    No Known Activations