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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. 13904
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    Explanations

    mentions of telecommunications companies or technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to telecommunications

    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
     Grayson
    -0.73
     Arkham
    -0.69
    uder
    -0.69
    kins
    -0.66
    styles
    -0.65
     Scare
    -0.65
     Severus
    -0.63
     Dwarf
    -0.63
    row
    -0.62
    Fest
    -0.62
    POSITIVE LOGITS
     telecom
    3.34
     telecommunications
    2.86
     Telecom
    2.77
     Telecommunications
    2.25
     ISPs
    1.64
    Tele
    1.62
     tel
    1.54
     broadband
    1.53
    Tel
    1.41
    tele
    1.41
    Activations Density 0.018%

    No Known Activations