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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. 4-RES-JB
    6. 7664
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    Explanations

    conditional sentences expressing hypothetical situations

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements about potential outcomes

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

    No Comments

    Negative Logits
    ²¾
    -0.81
    Ŀ
    -0.75
     {:
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.63
    ãĤ¼
    -0.62
    ãĥ£
    -0.61
     Moroc
    -0.60
    endish
    -0.59
    EV
    -0.59
    vable
    -0.58
    POSITIVE LOGITS
    glers
    0.66
    then
    0.65
    aples
    0.64
    CHA
    0.64
     Cooke
    0.60
     then
    0.59
    'll
    0.59
     THEN
    0.58
     elig
    0.58
     SHALL
    0.58
    Activations Density 0.493%

    No Known Activations