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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. 7-RES-JB
    6. 7962
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    Explanations

    phrases related to common occurrences or practices

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate common practices or themes within various contexts

    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
    umbledore
    -0.76
    ihad
    -0.70
    robe
    -0.65
    adish
    -0.64
    ribune
    -0.64
    ackets
    -0.63
    govtrack
    -0.63
    ById
    -0.60
    ependence
    -0.60
    >(
    -0.60
    POSITIVE LOGITS
     modern
    0.84
     contemporary
    0.80
     societies
    0.71
     Fram
    0.70
     Vide
    0.69
     humankind
    0.68
     Occupations
    0.68
     Popular
    0.68
     democracies
    0.68
     Everyday
    0.68
    Activations Density 0.456%

    No Known Activations