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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
    11. 24197
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    Explanations

    phrases related to sudden or significant changes or events

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to critical situations or decline

    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
    hander
    -0.73
    ership
    -0.73
    erness
    -0.70
    Ĥ¬
    -0.70
    alam
    -0.68
    pocket
    -0.67
    rooms
    -0.66
    weekly
    -0.65
    wana
    -0.64
    verbs
    -0.63
    POSITIVE LOGITS
     precip
    1.57
    itous
    1.48
    itating
    1.00
    itant
    0.94
    itates
    0.93
    itated
    0.93
    itate
    0.91
    uating
    0.88
    itial
    0.87
    uations
    0.84
    Activations Density 0.010%

    No Known Activations