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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. 6-RES-JB
    11. 7085
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    Explanations

    phrases related to actions or events that follow or occur after something else

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "subsequent" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lua
    -0.81
    toe
    -0.75
     Scher
    -0.71
    eno
    -0.71
    tics
    -0.70
     Scal
    -0.68
    deck
    -0.68
    Bay
    -0.67
    park
    -0.67
    eye
    -0.66
    POSITIVE LOGITS
     generations
    1.14
    ĸļ
    0.97
     iterations
    0.95
     installments
    0.89
     batches
    0.87
     developments
    0.82
     revisions
    0.81
     phases
    0.81
    ally
    0.80
     incarn
    0.79
    Activations Density 0.023%

    No Known Activations