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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. 22600
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    #$
    -0.72
    ngth
    -0.69
    hement
    -0.68
    heit
    -0.67
    sic
    -0.67
    aterasu
    -0.65
    iqueness
    -0.62
    oway
    -0.61
    bent
    -0.61
    toe
    -0.60
    POSITIVE LOGITS
    misc
    0.63
    ocaust
    0.62
    Balt
    0.60
     playback
    0.59
     Conway
    0.58
     Transcript
    0.58
     guiActiveUnfocused
    0.57
    ã
    0.57
    Phys
    0.56
    YING
    0.56
    Activations Density 0.032%

    No Known Activations