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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. 14048
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    Explanations

    instances where something is being documented or recorded

    oai_token-act-pair · gpt-3.5-turbo

    instances of 'recorded' and related terms indicating documentation or capturing events

    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
    pour
    -0.89
    adin
    -0.76
    ggles
    -0.73
    bite
    -0.69
    ners
    -0.68
    osi
    -0.67
    adders
    -0.67
    adder
    -0.67
    cloth
    -0.66
    egal
    -0.66
    POSITIVE LOGITS
     footage
    0.78
    idents
    0.74
     episodes
    0.67
     Tracks
    0.67
    RIPT
    0.66
     conversations
    0.65
     videos
    0.65
    recorded
    0.65
    errors
    0.65
     LIVE
    0.65
    Activations Density 0.084%

    No Known Activations