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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. 7821
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    Explanations

    phrases related to physical interactions or mechanical actions involving pulling or tugging

    oai_token-act-pair · gpt-3.5-turbo

    words related to pulling or tugging actions

    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
    SPONSORED
    -0.90
    merce
    -0.80
    mble
    -0.78
     Fallen
    -0.77
    brate
    -0.70
    phy
    -0.70
    brates
    -0.69
    ccording
    -0.68
     Scotia
    -0.68
    mberg
    -0.67
    POSITIVE LOGITS
    pull
    0.97
    Pull
    0.85
    chairs
    0.83
    back
    0.80
    overs
    0.78
     levers
    0.78
    outs
    0.77
    tab
    0.76
     Pull
    0.75
     sled
    0.75
    Activations Density 0.043%

    No Known Activations