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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. 4-RES-JB
    11. 10692
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    Explanations

    phrases indicating actions or operations being conducted or performed

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "carried" in various contexts

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

    No Comments

    Negative Logits
    ellen
    -0.81
    esa
    -0.71
    reddits
    -0.71
    IOR
    -0.68
    osal
    -0.67
    vironment
    -0.66
    ubuntu
    -0.65
    stellar
    -0.64
    chrom
    -0.62
    clair
    -0.62
    POSITIVE LOGITS
     carried
    0.74
    words
    0.71
    ives
    0.69
     stret
    0.69
     carriers
    0.66
    lean
    0.64
    akable
    0.63
     carrier
    0.63
    weight
    0.61
     Held
    0.61
    Activations Density 0.017%

    No Known Activations