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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. 6-RES-JB
    11. 18901
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    Explanations

    mentions of cameras or cinematography-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to film and cinematography

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BIP
    -0.81
     prevailing
    -0.77
    itably
    -0.67
    lander
    -0.63
    âĵĺ
    -0.62
     prisoner
    -0.60
     sweeping
    -0.60
    HY
    -0.60
     culturally
    -0.59
     plat
    -0.58
    POSITIVE LOGITS
    atography
    1.11
    icians
    1.03
    atically
    0.98
    ician
    0.97
    atics
    0.95
    amen
    0.95
    acist
    0.93
    atos
    0.93
    artisan
    0.91
    acies
    0.91
    Activations Density 0.070%

    No Known Activations