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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. 10-RES-JB
    6. 3083
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    INDEX
    Explanations

    prepositional phrases starting with "When it comes to."

    oai_token-act-pair · gpt-3.5-turbo

    phrases beginning with "When it comes to."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.86
    ©¶æ¥µ
    -0.84
    roo
    -0.83
    icer
    -0.81
    MIT
    -0.81
    icol
    -0.80
    soon
    -0.80
    quished
    -0.79
    nin
    -0.78
    idel
    -0.78
    POSITIVE LOGITS
     determining
    1.25
     predicting
    1.18
     dealing
    1.15
     figuring
    1.14
     selecting
    1.14
     evaluating
    1.14
     attracting
    1.14
     assessing
    1.13
     influencing
    1.10
     shaping
    1.09
    Activations Density 0.135%

    No Known Activations