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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. 0-RES-JB
    6. 17475
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the name "Jo."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spectrum
    -0.80
     disclosure
    -0.77
     disclosures
    -0.69
     vectors
    -0.69
     Reset
    -0.64
     carriers
    -0.64
     vector
    -0.63
     inaccurate
    -0.63
     microsc
    -0.62
     Medium
    -0.60
    POSITIVE LOGITS
    jo
    4.50
    JO
    2.15
    Jo
    1.76
    ja
    1.62
    jas
    1.57
    joining
    1.48
    je
    1.40
    ji
    1.39
    jon
    1.34
    j
    1.33
    Activations Density 0.010%

    No Known Activations