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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 23097
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    INDEX
    Explanations

    mentions of the word "te" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "te."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     eleph
    -0.71
    ipolar
    -0.65
    interrupted
    -0.65
     justified
    -0.63
     continents
    -0.62
    lessly
    -0.61
    etheless
    -0.61
    ĸļ
    -0.61
     pressures
    -0.61
     fronts
    -0.60
    POSITIVE LOGITS
    brate
    1.42
    brates
    1.30
    ller
    1.20
    achers
    1.12
    levision
    1.10
    llers
    1.08
    achable
    1.06
    legram
    1.04
    legraph
    1.03
    aching
    1.02
    Activations Density 0.017%

    No Known Activations