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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of television shows

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "shows" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etooth
    -0.65
    HER
    -0.65
    dict
    -0.60
    ESCO
    -0.56
    oslav
    -0.56
    soc
    -0.55
     Reincarn
    -0.54
    claw
    -0.54
    DEP
    -0.54
    Goal
    -0.54
    POSITIVE LOGITS
     shows
    3.39
    shows
    3.13
     Shows
    2.74
     show
    2.14
     demonstrates
    1.94
     showcases
    1.87
    show
    1.84
     showed
    1.82
     illustrates
    1.79
     displays
    1.74
    Activations Density 0.024%

    No Known Activations