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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. 8-RES-JB
    11. 4077
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    Explanations

    terms related to motives or motivations

    oai_token-act-pair · gpt-3.5-turbo

    references to motivations and motives 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    semble
    -0.85
    rooms
    -0.82
    opy
    -0.76
    esan
    -0.75
    ummer
    -0.74
    iannopoulos
    -0.74
    ropolis
    -0.73
    hold
    -0.71
    room
    -0.71
    enegger
    -0.69
    POSITIVE LOGITS
     motivation
    1.06
     motivations
    1.05
     motives
    1.02
     motive
    0.95
     motivating
    0.93
     motivated
    0.92
     justifying
    0.91
     motivate
    0.88
     motiv
    0.85
     behind
    0.83
    Activations Density 0.049%

    No Known Activations