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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. 19408
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    Explanations

    phrases indicating a partial reason or cause for a situation

    oai_token-act-pair · gpt-3.5-turbo

    references to contributions or roles in events or situations

    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
     slightest
    -0.75
    avorite
    -0.73
    thy
    -0.63
    iversal
    -0.62
     Rapt
    -0.61
     clipboard
    -0.61
     happiest
    -0.61
     warriors
    -0.59
    iry
    -0.58
    ¥µ
    -0.58
    POSITIVE LOGITS
    lie
    0.73
    PsyNetMessage
    0.71
    meal
    0.67
    ridge
    0.67
    displayText
    0.66
    dist
    0.65
    meier
    0.63
     guiActiveUn
    0.62
    ners
    0.61
    eston
    0.61
    Activations Density 0.020%

    No Known Activations