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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. 11-RES-JB
    11. 5378
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    Explanations

    mention of individuals and their actions

    oai_token-act-pair · gpt-3.5-turbo

    words associated with names or identities of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.65
    glers
    -0.60
     Cosponsors
    -0.59
    etheless
    -0.58
    aukee
    -0.57
     ashore
    -0.56
     Invisible
    -0.56
    eatures
    -0.53
     Barney
    -0.53
     counselors
    -0.53
    POSITIVE LOGITS
    itect
    0.82
    eta
    0.81
    inian
    0.75
    oreal
    0.73
    aga
    0.73
    ondo
    0.72
    enegger
    0.70
    ²
    0.69
    ivo
    0.68
    ement
    0.68
    Activations Density 0.107%

    No Known Activations