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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    references to the word "honey" with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "honey."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osure
    -0.80
    ŃĶ
    -0.74
    uers
    -0.74
    ative
    -0.71
    istical
    -0.68
    uing
    -0.67
    ista
    -0.65
    ©¶æ
    -0.65
    ists
    -0.64
    aneous
    -0.64
    POSITIVE LOGITS
    moon
    1.56
    bees
    1.30
    comb
    1.27
    bee
    1.20
    pots
    1.02
    pot
    1.01
    beans
    0.95
    cot
    0.94
    bean
    0.94
    bear
    0.92
    Activations Density 0.059%

    No Known Activations