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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
    11. 20220
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    Explanations

    text segments containing the word "Cont" as an abbreviation for contributed or contrast

    oai_token-act-pair · gpt-3.5-turbo

    the word "cont" 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
    EStream
    -1.09
    terday
    -0.85
    ħĭ
    -0.85
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.81
    OPLE
    -0.76
    STER
    -0.75
    lihood
    -0.75
    manship
    -0.70
    Reviewer
    -0.69
    Downloadha
    -0.69
    POSITIVE LOGITS
    ributed
    1.28
    ribution
    1.20
    ainment
    1.19
    ainers
    1.14
    rast
    1.09
    ribut
    1.08
    roversial
    1.07
    ribute
    1.07
    rary
    0.98
    rollers
    0.97
    Activations Density 0.007%

    No Known Activations