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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. 2-RES-JB
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    Explanations

    instances of the phrase "a lot of"

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of "a lot of" or abundance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.75
    ħĭ
    -0.73
    nets
    -0.71
     reperto
    -0.63
    soever
    -0.59
     Burgess
    -0.59
     appraisal
    -0.57
     Bridges
    -0.57
     Males
    -0.57
     hordes
    -0.56
    POSITIVE LOGITS
     course
    0.90
     sorts
    0.80
    icial
    0.80
    course
    0.76
    ordinary
    0.65
    THING
    0.63
    interesting
    0.63
    solid
    0.62
    awed
    0.62
     interesting
    0.61
    Activations Density 0.666%

    No Known Activations