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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. 3-RES-JB
    6. 1385
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    Explanations

    the word "re" in texts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "we" and other variations of "to be" in connected contexts, indicating collective experiences or observations

    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
    Site
    -0.61
    ãĥ©ãĥ³
    -0.57
    mx
    -0.53
    Spot
    -0.53
    ãĤµ
    -0.52
    ****************
    -0.51
    Search
    -0.51
    SEE
    -0.49
     SUPER
    -0.49
    Indust
    -0.49
    POSITIVE LOGITS
    uddenly
    0.68
    fw
    0.66
    gyn
    0.65
    helle
    0.63
    agh
    0.63
    lynn
    0.63
    ensable
    0.62
    addafi
    0.61
    hew
    0.61
    eal
    0.60
    Activations Density 0.613%

    No Known Activations