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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. 7-RES-JB
    11. 5314
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    Explanations

    phrases related to significant moments or key concepts

    oai_token-act-pair · gpt-3.5-turbo

    concepts and terminology related to critical analysis and evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constitu
    -0.67
     properly
    -0.64
     improperly
    -0.56
     :(
    -0.54
     Invalid
    -0.54
    ([
    -0.54
    hyde
    -0.52
     incorrectly
    -0.49
    deen
    -0.48
     correctly
    -0.48
    POSITIVE LOGITS
    ographies
    0.66
    spring
    0.63
    offs
    0.62
    neck
    0.61
    breakers
    0.61
    arsity
    0.59
    oub
    0.58
    -
    0.58
    cutting
    0.58
    âĢij
    0.58
    Activations Density 0.503%

    No Known Activations