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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. 11-RES-JB
    11. 11624
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    Explanations

    sentences or phrases discussing potential motives behind actions or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to motives and motivations behind actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inav
    -0.69
    loads
    -0.68
    iannopoulos
    -0.67
     Remastered
    -0.65
    abo
    -0.63
    ersion
    -0.61
    ropolis
    -0.61
    enegger
    -0.59
    VERSION
    -0.59
    ersive
    -0.59
    POSITIVE LOGITS
     behind
    1.41
     underlying
    1.05
    why
    0.99
     motives
    0.96
     motivations
    0.95
    behind
    0.94
     Behind
    0.94
     why
    0.93
     justifying
    0.92
     motivating
    0.90
    Activations Density 0.129%

    No Known Activations