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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. 17172
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    INDEX
    Explanations

    instances where something is expected to happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating anticipation or predictions about future events

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    agra
    -0.75
    anium
    -0.71
    reen
    -0.68
    cop
    -0.67
    backer
    -0.67
    anski
    -0.66
     Disease
    -0.66
    pi
    -0.66
    oard
    -0.64
    bin
    -0.64
    POSITIVE LOGITS
     unanim
    0.74
     overdue
    0.72
     rul
    0.68
     applause
    0.66
    LY
    0.65
     depreciation
    0.65
    ICAL
    0.65
    ebus
    0.65
    ĭ
    0.65
    DragonMagazine
    0.65
    Activations Density 0.026%

    No Known Activations