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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. 6-RES-JB
    6. 20234
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    Explanations

    references to telecommunication and technology terms specifically related to broadband

    oai_token-act-pair · gpt-3.5-turbo

    references to broadcasting or the term "Broad."

    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
    Downloadha
    -0.83
     Frankenstein
    -0.76
     Oro
    -0.74
     Canaver
    -0.73
     Guerrero
    -0.71
     Uriel
    -0.71
    è¦ļéĨĴ
    -0.71
     Tillerson
    -0.69
     Mehran
    -0.66
    ICAN
    -0.66
    POSITIVE LOGITS
    casters
    1.17
    bent
    1.14
    band
    1.02
    casting
    0.97
    casts
    0.96
    stairs
    0.95
    sheet
    0.93
    caster
    0.93
    sheets
    0.91
    emouth
    0.88
    Activations Density 0.011%

    No Known Activations