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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. 2-RES-JB
    11. 22263
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    Explanations

    names or titles of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sailors and specific names, particularly in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eele
    -0.87
    inatory
    -0.80
    icut
    -0.78
    inators
    -0.77
    ropolitan
    -0.76
    rence
    -0.73
    ions
    -0.73
    rity
    -0.73
    reau
    -0.72
    rams
    -0.72
    POSITIVE LOGITS
     sailor
    0.86
    acht
    0.79
     sailors
    0.77
     Swim
    0.76
    boats
    0.74
     Nico
    0.73
     Ocean
    0.72
    nces
    0.70
    cipled
    0.70
     Sail
    0.69
    Activations Density 0.020%

    No Known Activations