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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16898
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    INDEX
    Explanations

    mentions of ex-partners or ex-relationships

    oai_token-act-pair · gpt-3.5-turbo

    references to previous relationships or partners

    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
     GOODMAN
    -0.76
     Gork
    -0.65
     baskets
    -0.64
     cones
    -0.64
     halls
    -0.64
     Inspection
    -0.62
     revolving
    -0.61
     similarities
    -0.60
     Flavoring
    -0.60
     disse
    -0.59
    POSITIVE LOGITS
    clamation
    1.33
    uber
    1.24
    orbit
    1.11
    communication
    1.09
    girlfriend
    1.08
    clave
    1.04
    oplan
    1.02
    cell
    1.02
    ogenous
    1.00
    terior
    1.00
    Activations Density 0.016%

    No Known Activations