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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. 12658
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    Explanations

    proper nouns, such as names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate affiliations or relationships, particularly in a political context

    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
    afety
    -0.62
     scaven
    -0.61
    INE
    -0.60
    packed
    -0.59
     footing
    -0.58
     contradictory
    -0.57
     issu
    -0.56
     fortun
    -0.56
     semblance
    -0.56
    FIX
    -0.56
    POSITIVE LOGITS
     Himself
    0.81
     Jr
    0.81
     Sr
    0.71
     whom
    0.70
     QC
    0.67
    pton
    0.67
     Parish
    0.66
     Crimes
    0.64
    aley
    0.62
     Sty
    0.62
    Activations Density 1.134%

    No Known Activations