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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. 7858
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    Explanations

    phrases expressing expectations or beliefs, particularly related to actions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words focused on expectations, assumptions, or beliefs

    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
    md
    -0.66
    jab
    -0.66
    unker
    -0.65
    verting
    -0.63
    hs
    -0.62
    ithing
    -0.62
    wings
    -0.62
    versions
    -0.61
    stairs
    -0.61
    ding
    -0.60
    POSITIVE LOGITS
    enance
    0.82
    OULD
    0.77
    gat
    0.76
     logically
    0.69
     congr
    0.65
    DragonMagazine
    0.64
     forgiven
    0.63
    ENSE
    0.62
    ername
    0.61
    ECTION
    0.60
    Activations Density 0.103%

    No Known Activations