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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
    11. 3648
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    Explanations

    medical conditions or issues related to skin irritation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rashes and skin irritations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    anooga
    -1.04
    ractor
    -0.92
    mercial
    -0.82
    atem
    -0.79
    cedented
    -0.79
     Hemp
    -0.76
    tein
    -0.71
    merce
    -0.71
     reson
    -0.68
    ¬¼
    -0.68
    POSITIVE LOGITS
     rash
    1.20
    iness
    0.80
    lings
    0.78
    oci
    0.76
    itic
    0.76
    sha
    0.73
    ident
    0.70
    guards
    0.70
    DAQ
    0.67
    alos
    0.66
    Activations Density 0.007%

    No Known Activations