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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. 23415
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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
    Not in Any Lists

    No Comments

    Negative Logits
    apers
    -0.75
    IELD
    -0.74
    words
    -0.66
    hov
    -0.64
    cloth
    -0.62
    perse
    -0.61
    confidence
    -0.60
    awar
    -0.59
    aper
    -0.58
    stakes
    -0.58
    POSITIVE LOGITS
    ues
    1.13
    ical
    0.96
    ously
    0.95
    ies
    0.93
    ophone
    0.84
    istered
    0.79
    ties
    0.79
    ically
    0.78
    sembly
    0.78
    istar
    0.77
    Activations Density 0.024%

    No Known Activations