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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
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    Explanations

    instances of the word "saw"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "see" and its variations in context related to perception and observation

    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
    hero
    -0.78
    gart
    -0.68
    travel
    -0.59
    hoff
    -0.59
     pend
    -0.59
    blem
    -0.59
    agraph
    -0.58
     Continental
    -0.56
    iop
    -0.56
    strength
    -0.56
    POSITIVE LOGITS
     entails
    0.72
    ãĤ´
    0.71
    DERR
    0.71
    UFC
    0.68
    ulse
    0.62
    áµ
    0.62
    ulin
    0.62
     Learned
    0.60
     wrought
    0.60
    illet
    0.59
    Activations Density 0.261%

    No Known Activations