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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. 6-RES-JB
    11. 13939
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    Explanations

    quantities of items or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities, specifically small numbers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lance
    -0.69
    /#
    -0.67
     Soldier
    -0.66
    endor
    -0.65
    adder
    -0.64
     Devi
    -0.64
    Joy
    -0.63
    gow
    -0.63
    acus
    -0.60
    na
    -0.60
    POSITIVE LOGITS
     dozen
    0.92
     thousand
    0.86
     hundred
    0.86
     batches
    0.75
    ths
    0.74
     minutes
    0.74
     depending
    0.71
    dozen
    0.70
    ciating
    0.70
     bites
    0.69
    Activations Density 0.060%

    No Known Activations