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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. 9-RES-JB
    11. 2647
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    Explanations

    commands or instructions in text

    oai_token-act-pair · gpt-3.5-turbo

    key actions and interactions related to official or formal events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abases
    -0.63
    aceutical
    -0.56
    orie
    -0.56
    thritis
    -0.55
    ilitating
    -0.55
    idae
    -0.54
    geries
    -0.54
     depends
    -0.54
    ivas
    -0.52
    soever
    -0.50
    POSITIVE LOGITS
    etheless
    0.95
     nonetheless
    0.82
     instead
    0.81
    instead
    0.76
    again
    0.71
     anyway
    0.66
     unfocusedRange
    0.65
    Instead
    0.63
     nevertheless
    0.61
    rather
    0.61
    Activations Density 1.428%

    No Known Activations