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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. 5-RES-JB
    6. 18200
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    Explanations

    the word "many" in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    references to the quantity "many."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acus
    -0.86
    adish
    -0.81
    atum
    -0.75
    etry
    -0.71
    amation
    -0.71
    atism
    -0.68
    oulos
    -0.68
    OPE
    -0.68
    ataka
    -0.67
    roup
    -0.67
    POSITIVE LOGITS
     facets
    0.94
     times
    0.94
    body
    0.93
     aspects
    0.87
     iterations
    0.85
     kinds
    0.84
     different
    0.81
     unanswered
    0.81
     dozen
    0.81
     hundred
    0.80
    Activations Density 0.063%

    No Known Activations