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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. 3-RES-JB
    11. 23149
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    Explanations

    references to audio content or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to audio content or recordings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naire
    -0.87
    vier
    -0.83
    ardless
    -0.81
    vous
    -0.80
    ality
    -0.80
    arity
    -0.73
    rir
    -0.72
    ariat
    -0.71
    redo
    -0.71
    pard
    -0.71
    POSITIVE LOGITS
    audio
    1.02
     drums
    0.98
     recordings
    0.98
     playback
    0.95
     audio
    0.91
     voic
    0.86
     recording
    0.86
     cassette
    0.85
     amplifier
    0.81
     clips
    0.81
    Activations Density 0.011%

    No Known Activations