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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. 8-RES-JB
    11. 359
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    Explanations

    phrases that involve introducing or mentioning something new or adding to an existing concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "with" frequently, indicating relationships or connections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chan
    -0.77
    strate
    -0.75
    hemat
    -0.73
    stall
    -0.69
    onda
    -0.68
    there
    -0.67
    thing
    -0.67
    Saharan
    -0.66
    ischer
    -0.66
    ivia
    -0.66
    POSITIVE LOGITS
     regards
    1.31
     regard
    1.16
     impunity
    0.98
     respect
    0.91
    draw
    0.88
     vig
    0.88
     gust
    0.84
     tales
    0.84
     ease
    0.83
     visions
    0.82
    Activations Density 0.191%

    No Known Activations