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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. 11-RES-JB
    11. 14118
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    Explanations

    events or situations that provoke a strong public or emotional reaction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a reaction or response to events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parts
    -0.81
     coefficients
    -0.75
     objectives
    -0.69
    til
    -0.67
    anced
    -0.66
    breakers
    -0.65
    planes
    -0.64
    ances
    -0.64
    eatures
    -0.64
    chev
    -0.63
    POSITIVE LOGITS
     flurry
    1.37
     frenzy
    1.34
     cascade
    1.32
     uproar
    1.26
     backlash
    1.25
     outcry
    1.24
     stir
    1.19
     ripple
    1.16
     avalanche
    1.13
     scramble
    1.08
    Activations Density 0.183%

    No Known Activations