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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. 1-RES-JB
    11. 7130
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    Explanations

    phrases containing words related to worry, concern, or danger

    oai_token-act-pair · gpt-3.5-turbo

    references to arrows or directional indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.76
    Downloadha
    -0.73
     Notting
    -0.67
    intend
    -0.66
     Patri
    -0.65
     Haiti
    -0.63
     Steal
    -0.62
     Il
    -0.60
     Buc
    -0.59
    Il
    -0.59
    POSITIVE LOGITS
    arrow
    1.35
     arrow
    1.05
     arrows
    0.84
    vier
    0.81
    hammer
    0.81
    ragon
    0.75
     Arrow
    0.74
    emouth
    0.73
    phabet
    0.72
     crossings
    0.71
    Activations Density 0.003%

    No Known Activations