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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. 3-RES-JB
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    Explanations

    words related to pulling or tugging

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to the concept of "tugging" or pulling, both literally and metaphorically

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    mberg
    -0.81
    essage
    -0.72
     Hebdo
    -0.66
     Ov
    -0.65
     Excellence
    -0.65
    gow
    -0.65
     Glob
    -0.65
     Expend
    -0.64
     Frog
    -0.64
    iphate
    -0.64
    POSITIVE LOGITS
    ging
    1.15
    boat
    1.11
    ged
    1.10
    boats
    1.05
     tug
    1.02
    glers
    1.01
    eteenth
    0.96
    gers
    0.79
    rous
    0.78
    iculture
    0.76
    Activations Density 0.010%

    No Known Activations