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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. 3-RES-JB
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    Explanations

    phrases related to areas controlled by rebel forces

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conflicts and military actions involving rebel-held areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xxxxxxxx
    -0.63
     Express
    -0.62
    Phys
    -0.61
    cephal
    -0.60
    ADD
    -0.58
    ploma
    -0.58
     Proceed
    -0.57
    Detect
    -0.56
    urses
    -0.56
     Annotations
    -0.55
    POSITIVE LOGITS
    held
    1.10
    sburg
    0.99
    terness
    0.89
    erness
    0.86
    scl
    0.81
    hold
    0.77
     captive
    0.76
    ãĤ¤ãĥĪ
    0.71
    bys
    0.71
    mares
    0.70
    Activations Density 0.019%

    No Known Activations