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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

    the word "imagine" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "imagine" in various contexts

    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
    inals
    -0.69
    bard
    -0.69
    inance
    -0.68
    matter
    -0.67
    die
    -0.63
    fund
    -0.63
    church
    -0.62
    wa
    -0.62
    ldon
    -0.61
    ixt
    -0.60
    POSITIVE LOGITS
    lihood
    0.91
    ĸļ
    0.84
     imagine
    0.80
    orial
    0.77
     msec
    0.77
    âĶĢâĶĢâĶĢâĶĢ
    0.75
    eers
    0.74
    ĸ
    0.73
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.73
    RON
    0.68
    Activations Density 0.024%

    No Known Activations