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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. 9-RES-JB
    11. 3662
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    Explanations

    dates or time-related information in a formal format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of empty tokens indicating breaks in text

    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
     endors
    -0.66
     implants
    -0.64
     pier
    -0.64
     distur
    -0.62
     nurt
    -0.62
     outwe
    -0.61
     bases
    -0.60
     nailed
    -0.60
     chall
    -0.59
     fri
    -0.58
    POSITIVE LOGITS
    cluding
    1.26
    jured
    1.21
    visible
    1.19
    juries
    1.19
    ventory
    1.13
    sect
    1.12
    strument
    1.11
    cluded
    1.11
    clude
    1.10
    advert
    1.09
    Activations Density 0.131%

    No Known Activations