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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. 1742
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    Explanations

    actions or activities that involve physical engagement

    oai_token-act-pair · gpt-3.5-turbo

    actions and activities related to social interactions and personal habits

    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
    taboola
    -0.72
    Enlarge
    -0.67
    heter
    -0.66
    pmwiki
    -0.64
    Jer
    -0.63
    tesy
    -0.62
    terness
    -0.61
    ple
    -0.59
    igl
    -0.57
    thur
    -0.56
    POSITIVE LOGITS
    '."
    0.65
     oneself
    0.63
    alogue
    0.61
    èĢħ
    0.61
    ',"
    0.60
     corrid
    0.60
     equivalents
    0.60
    ij士
    0.59
     rul
    0.58
    Tokens
    0.58
    Activations Density 0.977%

    No Known Activations