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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. 11539
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    Explanations

    keywords related to preparedness and readiness for various situations or events

    oai_token-act-pair · gpt-3.5-turbo

    discussions about readiness and preparedness for various 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
    utra
    -0.75
    ochet
    -0.70
    =-=-=-=-=-=-=-=-
    -0.69
    roma
    -0.69
    orph
    -0.66
    Buzz
    -0.65
    adish
    -0.64
    drivers
    -0.63
    enez
    -0.63
    ipple
    -0.61
    POSITIVE LOGITS
    pared
    0.85
    intendent
    0.83
    NESS
    0.81
    aucuses
    0.79
    Statement
    0.78
    atoon
    0.77
    ifax
    0.76
    roth
    0.74
     beforehand
    0.73
    atives
    0.73
    Activations Density 0.025%

    No Known Activations