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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. 8-RES-JB
    11. 827
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    Explanations

    references to natural disasters

    oai_token-act-pair · gpt-3.5-turbo

    references to flavors or food-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hood
    -0.69
    RAL
    -0.68
    eers
    -0.68
     pleas
    -0.67
     Beware
    -0.65
    stro
    -0.63
    selves
    -0.63
    sem
    -0.63
    EngineDebug
    -0.63
    bell
    -0.61
    POSITIVE LOGITS
    uffy
    1.30
    avour
    1.24
    oyd
    1.20
    oppy
    1.19
    avored
    1.16
    urry
    1.14
    owers
    1.14
    ickr
    1.10
    orescent
    1.10
    ights
    1.08
    Activations Density 0.030%

    No Known Activations