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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. 1-RES-JB
    6. 19211
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    Explanations

    measurements and instances of quantifying in a document

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "measuring" and related concepts

    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
    cffffcc
    -0.82
    iferation
    -0.75
    fml
    -0.75
    ItemTracker
    -0.72
    vous
    -0.71
     afore
    -0.69
     attendant
    -0.65
    udence
    -0.64
    she
    -0.63
     appearance
    -0.63
    POSITIVE LOGITS
    uate
    1.09
    olate
    0.99
    kson
    0.80
     yourselves
    0.71
    resses
    0.71
    urate
    0.70
    verning
    0.70
    ments
    0.70
    urat
    0.68
    ribe
    0.67
    Activations Density 0.043%

    No Known Activations