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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. 12-RES-JB
    11. 3430
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    Explanations

    short phrases related to work or collaboration

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases and variations of the word "work" along with collaborative efforts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ption
    -0.70
     Trafford
    -0.63
    iler
    -0.63
    ilings
    -0.62
     Returning
    -0.62
    odium
    -0.62
    ylon
    -0.61
     Flavoring
    -0.60
     Admission
    -0.60
    ript
    -0.60
    POSITIVE LOGITS
     tirelessly
    1.40
     diligently
    1.30
     collabor
    1.30
     closely
    1.22
     overtime
    1.19
     cooper
    1.16
     hard
    1.11
     harder
    1.11
     together
    1.10
     toward
    1.06
    Activations Density 0.077%

    No Known Activations