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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. 9-RES-JB
    11. 23078
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    INDEX
    Explanations

    phrases starting with "Most"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Most" followed by positive affirmations or statements of significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mellon
    -0.76
    rompt
    -0.70
    abad
    -0.63
    vette
    -0.59
    edin
    -0.59
    ettel
    -0.59
    adium
    -0.59
    iggurat
    -0.59
     CARD
    -0.58
    itud
    -0.58
    POSITIVE LOGITS
     importantly
    1.61
     notably
    1.14
    afa
    1.13
     interestingly
    0.95
     observers
    0.92
    etheless
    0.90
     likely
    0.90
     important
    0.88
     notable
    0.86
     noticeable
    0.82
    Activations Density 0.053%

    No Known Activations