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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. 11-RES-JB
    11. 23197
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    Explanations

    text related to brewing processes and beer ingredients, primarily focusing on hops

    oai_token-act-pair · gpt-3.5-turbo

    elements related to brewing and various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    姫
    -0.62
    lando
    -0.57
    Fax
    -0.56
    OTOS
    -0.56
    anooga
    -0.54
    awks
    -0.54
    sites
    -0.54
    izens
    -0.53
    ãĥīãĥ©
    -0.53
    eem
    -0.53
    POSITIVE LOGITS
     rather
    1.56
    rather
    1.44
     whereas
    1.37
     instead
    1.11
     consisting
    1.08
     versus
    1.07
     whereby
    1.07
     minus
    1.02
     divided
    0.98
     wherein
    0.98
    Activations Density 1.017%

    No Known Activations