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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. 9-RES-JB
    6. 16594
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    Explanations

    phrases describing physical actions with force or intensity

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing physical force or destruction

    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
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    No Comments

    Negative Logits
     Industries
    -0.70
    pton
    -0.70
    itially
    -0.66
    bridge
    -0.66
     SECTION
    -0.65
    lio
    -0.65
    emies
    -0.65
     Dise
    -0.62
    EMBER
    -0.62
    obook
    -0.61
    POSITIVE LOGITS
     impunity
    1.78
     ease
    1.49
    stood
    1.27
    draw
    1.23
    drawn
    1.13
     abandon
    1.10
    standing
    1.09
     gust
    1.08
     dignity
    1.04
     regard
    1.00
    Activations Density 0.150%

    No Known Activations