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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. 6-RES-JB
    11. 16969
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    Explanations

    audio-visual recordings

    oai_token-act-pair · gpt-3.5-turbo

    references to audio or video recordings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    adin
    -0.85
    mere
    -0.78
    hiro
    -0.74
    enta
    -0.72
     Schwarz
    -0.70
    vier
    -0.70
    ahime
    -0.66
     Lanka
    -0.66
    avy
    -0.65
    ww
    -0.65
    POSITIVE LOGITS
     recordings
    1.03
     recorder
    0.91
     sessions
    0.89
    recorded
    0.88
     tapes
    0.88
    audio
    0.87
     recording
    0.86
     microphones
    0.84
     studio
    0.83
     Recording
    0.81
    Activations Density 0.018%

    No Known Activations