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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. 5-RES-JB
    6. 18737
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    Explanations

    words related to education, such as "school," "scholastic," and "academic achievement."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ol" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.68
     Presidential
    -0.67
     Healer
    -0.64
    DATA
    -0.63
     Citizen
    -0.63
    éĹ
    -0.63
     Arbor
    -0.63
     Creator
    -0.62
     Battles
    -0.62
    ãĥĥãĥī
    -0.61
    POSITIVE LOGITS
    ipop
    1.18
    ateral
    1.15
    ength
    1.05
    phe
    1.05
    onial
    1.04
    oad
    1.04
    ounge
    1.01
    inks
    1.00
    okia
    0.98
    oking
    0.97
    Activations Density 0.025%

    No Known Activations