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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. 8784
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    Explanations

    expressions indicating a large quantity or frequency

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of the word "many."

    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
    UAL
    -0.75
    icism
    -0.74
    amation
    -0.74
    atum
    -0.73
    anut
    -0.72
    agame
    -0.72
    acus
    -0.71
    oulos
    -0.69
    atism
    -0.69
    OPE
    -0.68
    POSITIVE LOGITS
     times
    1.04
     facets
    1.03
     aspects
    1.00
     thousands
    0.93
    body
    0.92
     kinds
    0.91
     ways
    0.87
     different
    0.86
     thousand
    0.86
     hundred
    0.85
    Activations Density 0.081%

    No Known Activations