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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
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    Explanations

    mentions of the animal "koala"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of koalas and related terms

    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
    coat
    -0.88
    Interstitial
    -0.88
    RED
    -0.69
    IENCE
    -0.67
    DATA
    -0.67
    Wilson
    -0.66
    Medium
    -0.65
    Nap
    -0.65
    Hung
    -0.64
    Newsletter
    -0.64
    POSITIVE LOGITS
     ko
    1.24
    lyak
    0.99
    osta
    0.96
    enhagen
    0.91
     turtles
    0.85
    ugi
    0.82
     resil
    0.80
    rolet
    0.80
    asonic
    0.78
    opy
    0.77
    Activations Density 0.009%

    No Known Activations