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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. 4-RES-JB
    11. 20550
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    Explanations

    words related to sudden or violent outbursts or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    words associated with violent or intense events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ajo
    -0.81
    ndra
    -0.79
    ©¶æ
    -0.76
    uana
    -0.74
    nda
    -0.72
    eline
    -0.67
    ammy
    -0.65
    thin
    -0.65
    aky
    -0.65
    rendered
    -0.65
    POSITIVE LOGITS
     erupt
    0.96
     erupted
    0.86
    burst
    0.85
     anew
    0.84
     pandemonium
    0.75
     eruption
    0.75
     bursting
    0.74
    cffffcc
    0.74
     Pog
    0.72
     ign
    0.71
    Activations Density 0.016%

    No Known Activations