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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. 19899
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    Explanations

    phrases related to storytelling or news updates

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the continuation of stories or information

    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
    rency
    -0.65
    bats
    -0.63
    axter
    -0.62
    Aid
    -0.61
    morrow
    -0.60
    Honest
    -0.57
    models
    -0.57
    Choice
    -0.57
    ãĥį
    -0.57
    olphin
    -0.57
    POSITIVE LOGITS
     BELOW
    0.73
    gallery
    0.59
    interstitial
    0.59
     Below
    0.59
    atre
    0.57
     CONTIN
    0.56
     enlarge
    0.56
     below
    0.56
    ocy
    0.55
    push
    0.54
    Activations Density 0.020%

    No Known Activations