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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 17040
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    Explanations

    adjectives or verbs indicating a change in ease or difficulty of a certain action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the relative difficulty or ease of various actions or regulations

    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
    notations
    -0.65
    Originally
    -0.63
    ilo
    -0.63
    leigh
    -0.60
    agraph
    -0.60
    milo
    -0.60
    Blu
    -0.58
     Difference
    -0.57
    wings
    -0.56
    kind
    -0.56
    POSITIVE LOGITS
     for
    0.79
     to
    0.78
     punishable
    0.71
    IBLE
    0.67
    ible
    0.65
    enged
    0.64
     prey
    0.63
    for
    0.63
     easier
    0.62
    anced
    0.62
    Activations Density 0.076%

    No Known Activations