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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. 4-RES-JB
    11. 6108
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    Explanations

    invitations or permissions to engage in various actions

    oai_token-act-pair · gpt-3.5-turbo

    expressions encouraging openness and freedom of action or communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    dor
    -0.76
    emet
    -0.70
    adra
    -0.68
     Mig
    -0.64
     Fog
    -0.63
     Bog
    -0.62
    ilater
    -0.61
    GBT
    -0.61
     Kardash
    -0.59
    å°Ĩ
    -0.59
    POSITIVE LOGITS
    zee
    0.91
    bies
    0.86
    zing
    0.80
    zers
    0.79
    nels
    0.79
    cery
    0.79
    ¥µ
    0.76
    ze
    0.76
    irs
    0.74
    zed
    0.73
    Activations Density 0.012%

    No Known Activations