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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8769
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    Explanations

    phrases related to things being of high quality, status, or importance

    oai_token-act-pair · gpt-3.5-turbo

    the word "highly" and its context in relation to intensity or degree

    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
     Slug
    -0.76
    ories
    -0.75
     Nightmares
    -0.74
     Ashe
    -0.73
     Dare
    -0.73
    ppo
    -0.72
    psons
    -0.71
     Sins
    -0.70
     Parenthood
    -0.70
     Tycoon
    -0.67
    POSITIVE LOGITS
     regarded
    1.05
     unlikely
    0.94
     educated
    0.90
     rated
    0.87
     improbable
    0.86
     anticipated
    0.85
     prized
    0.83
     cultured
    0.82
     touted
    0.82
     publicized
    0.81
    Activations Density 0.030%

    No Known Activations