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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
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    phrases related to health assessment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to health assessments and qualifications

    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
     ACTIONS
    -0.60
    sbm
    -0.57
     Journals
    -0.55
    cellaneous
    -0.51
    ciplinary
    -0.49
    Offline
    -0.48
     Printed
    -0.48
    Media
    -0.48
     Planetary
    -0.47
     Editors
    -0.47
    POSITIVE LOGITS
    peat
    0.59
    ardless
    0.59
    ß
    0.57
    renheit
    0.56
     shortest
    0.55
    izont
    0.54
    inia
    0.53
    ogging
    0.49
    cox
    0.49
    bage
    0.47
    Activations Density 1.837%

    No Known Activations