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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. 14065
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    Explanations

    references to someone's time spent in a specific place or role

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the duration of time spent in various roles or positions

    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
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.75
    ateg
    -0.72
    reme
    -0.68
    strate
    -0.66
    uristic
    -0.63
    versely
    -0.62
    vable
    -0.61
     somet
    -0.60
     Yose
    -0.60
    ortium
    -0.59
    POSITIVE LOGITS
     abroad
    0.90
    boarding
    0.82
    mates
    0.82
     captivity
    0.80
     tenure
    0.79
     overseas
    0.79
     mates
    0.71
     captive
    0.68
    pan
    0.68
     apprentices
    0.66
    Activations Density 0.161%

    No Known Activations