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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. 7-RES-JB
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    Explanations

    words with the pattern "th" followed by a high frequency of either vowels or consonants

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "th"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤŃ
    -0.69
    姫
    -0.68
    keeping
    -0.68
    âĸ¬âĸ¬
    -0.64
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.64
    staking
    -0.64
    ãģ®éŃĶ
    -0.63
    EMENT
    -0.63
    ITED
    -0.63
    enhagen
    -0.62
    POSITIVE LOGITS
    irteen
    1.21
    reshold
    1.14
    ieving
    1.09
    umbnail
    1.07
    ttp
    1.05
    ieves
    1.03
    istle
    1.02
    orns
    1.02
    ursday
    1.02
    rones
    1.01
    Activations Density 0.023%

    No Known Activations