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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. 7-RES-JB
    11. 2122
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    Explanations

    numbers with units of measure

    oai_token-act-pair · gpt-3.5-turbo

    specific locations and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WARN
    -0.66
     NP
    -0.59
     FS
    -0.58
     GF
    -0.55
     BG
    -0.52
     FG
    -0.52
     CM
    -0.51
     hindsight
    -0.51
    ãĤ°
    -0.48
     CB
    -0.48
    POSITIVE LOGITS
     respectively
    1.00
    )).
    0.90
    .).
    0.89
     attRot
    0.89
    .''.
    0.88
    .(
    0.87
    *.
    0.86
    +.
    0.86
    !.
    0.81
    %.
    0.80
    Activations Density 1.479%

    No Known Activations