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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. 10-RES-JB
    11. 16277
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    INDEX
    Explanations

    phrases related to recovery or improvement following setbacks

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating recovery or rebound in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    english
    -0.75
     GOODMAN
    -0.74
    skirts
    -0.73
    inet
    -0.70
    soDeliveryDate
    -0.69
    anguage
    -0.69
    anced
    -0.65
    toc
    -0.65
    cause
    -0.65
    Demand
    -0.65
    POSITIVE LOGITS
     disappointing
    1.43
     setbacks
    1.32
     losses
    1.31
     lackluster
    1.31
     slump
    1.30
     defeats
    1.29
     disastrous
    1.28
     dismal
    1.28
     setback
    1.24
     debacle
    1.18
    Activations Density 0.330%

    No Known Activations