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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. 10-RES-JB
    11. 23336
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    Explanations

    alphanumeric numbers

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bleach
    -0.72
     Dull
    -0.69
    istical
    -0.67
    ications
    -0.65
    ist
    -0.64
    iated
    -0.64
    ioned
    -0.63
    ishes
    -0.61
    ical
    -0.60
    onite
    -0.60
    POSITIVE LOGITS
    09
    1.33
    06
    1.30
    08
    1.30
    07
    1.27
    05
    1.26
    04
    1.24
    03
    1.23
    090
    1.14
    02
    1.14
    089
    1.12
    Activations Density 0.102%

    No Known Activations