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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. 0-RES-JB
    11. 5070
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    Explanations

    words related to dryness

    oai_token-act-pair · gpt-3.5-turbo

    references to dryness or dry environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Swordsman
    -0.76
     Equality
    -0.75
    anguard
    -0.73
     Persona
    -0.72
     Promotion
    -0.68
     Aff
    -0.67
    requires
    -0.66
     Vanguard
    -0.66
     Ghostbusters
    -0.66
    Angelo
    -0.65
    POSITIVE LOGITS
     dry
    3.74
    dry
    2.69
     Dry
    2.58
     drying
    2.47
     dried
    2.14
     dri
    1.88
     wet
    1.86
     moist
    1.59
     humid
    1.50
     moisture
    1.47
    Activations Density 0.023%

    No Known Activations