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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. 13270
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    Explanations

    references to literal or metaphorical explosions

    oai_token-act-pair · gpt-3.5-turbo

    references to explosions

    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
    stra
    -0.74
    secut
    -0.72
    nda
    -0.70
    hist
    -0.70
    epad
    -0.67
     quarters
    -0.67
    stood
    -0.65
    rib
    -0.65
    acting
    -0.64
    croft
    -0.64
    POSITIVE LOGITS
     explosion
    1.25
     Explosion
    0.94
     explodes
    0.83
     explosions
    0.83
     fireball
    0.82
     eruption
    0.82
     boom
    0.80
     burst
    0.80
     bursting
    0.80
     explode
    0.79
    Activations Density 0.006%

    No Known Activations