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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    instances where an event or meeting is attended or is scheduled to be attended

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "attend" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    deal
    -0.72
    irus
    -0.66
    arin
    -0.65
    cised
    -0.64
    shock
    -0.62
    cold
    -0.60
    aganda
    -0.60
    worn
    -0.59
    Hom
    -0.59
     dri
    -0.58
    POSITIVE LOGITS
     Attend
    0.96
     attend
    0.90
    uates
    0.89
    uated
    0.84
     attendance
    0.81
    eret
    0.79
     RTX
    0.77
     attends
    0.77
    ees
    0.76
    uating
    0.74
    Activations Density 0.025%

    No Known Activations