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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. 5089
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    Explanations

    mentions of movie titles, especially those related to adventure or science fiction genres

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Jurassic Park" franchise and related terms

    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
    hips
    -0.91
    arettes
    -0.79
    orter
    -0.77
    ppard
    -0.75
    etting
    -0.73
    held
    -0.70
    redo
    -0.69
    zzle
    -0.68
    ndra
    -0.68
    resso
    -0.68
    POSITIVE LOGITS
     Jurassic
    1.42
    assic
    1.18
    osaurs
    0.98
     Park
    0.86
    osaurus
    0.82
    Boss
    0.81
    aceous
    0.77
     Calais
    0.77
    ãĥ©ãĥ³
    0.72
     Parks
    0.72
    Activations Density 0.007%

    No Known Activations