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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. 6-RES-JB
    11. 432
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    INDEX
    Explanations

    specific locations or positions within a physical space

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating relationships or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    STEM
    -0.75
    iant
    -0.69
    fml
    -0.64
    oy
    -0.62
    Sov
    -0.61
    Pacific
    -0.61
    cia
    -0.60
     Pact
    -0.59
    Ļ½
    -0.58
    ago
    -0.58
    POSITIVE LOGITS
     lookout
    0.70
     plates
    0.59
     convey
    0.58
     flanked
    0.58
     rotating
    0.57
    apixel
    0.55
     unsuspecting
    0.55
     Heads
    0.55
     Brass
    0.54
     benches
    0.54
    Activations Density 1.106%

    No Known Activations