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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. 3536
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    Explanations

    adjectives describing abstract concepts or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to abstract thinking and philosophical ideas

    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
     streng
    -0.67
    lvl
    -0.65
     Signature
    -0.65
     Technician
    -0.62
     Veteran
    -0.62
     indications
    -0.61
     DM
    -0.60
     consolidation
    -0.60
    lishing
    -0.59
     confirmation
    -0.58
    POSITIVE LOGITS
    iberal
    0.99
     oneself
    0.92
    nothing
    0.87
    ?,
    0.86
    gger
    0.85
    thinkable
    0.85
    shit
    0.85
    terday
    0.84
    thood
    0.83
    fuck
    0.82
    Activations Density 0.899%

    No Known Activations