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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. 1-RES-JB
    11. 2666
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    Explanations

    objects associated with carrying items or holding valuables, particularly purses

    oai_token-act-pair · gpt-3.5-turbo

    references to purses and related containers or accessories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abad
    -0.92
     Grad
    -0.68
     Drill
    -0.66
    Gas
    -0.65
     Hast
    -0.64
     Galile
    -0.64
     Frequ
    -0.64
     Bermuda
    -0.63
     Surv
    -0.63
     AMA
    -0.62
    POSITIVE LOGITS
     purse
    1.65
     purs
    1.11
    glers
    0.87
    lique
    0.86
    olicy
    0.84
    folios
    0.82
     jug
    0.82
    taining
    0.81
    bag
    0.78
    pak
    0.78
    Activations Density 0.007%

    No Known Activations