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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. 8-RES-JB
    11. 798
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    Explanations

    phrases containing specific character sequences

    oai_token-act-pair · gpt-3.5-turbo

    non-alphanumeric characters and formatting elements in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ichick
    -0.60
     droid
    -0.60
    bringer
    -0.58
     lull
    -0.58
    adesh
    -0.58
     toile
    -0.58
    ilon
    -0.57
    going
    -0.55
     crate
    -0.55
     backer
    -0.54
    POSITIVE LOGITS
    oglu
    0.76
    ================================================================
    0.75
    âĵĺ
    0.73
    Introduced
    0.72
    TEXTURE
    0.69
    Ent
    0.68
    ãĥīãĥ©ãĤ´ãĥ³
    0.67
    052
    0.67
    ãĤ¨ãĥ«
    0.66
    taboola
    0.64
    Activations Density 0.321%

    No Known Activations