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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. 5643
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    Explanations

    phrases related to modification or improvement

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to processes of change or improvement

    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
    ãĥīãĥ©
    -0.63
    annot
    -0.63
    osate
    -0.61
    ãĤº
    -0.60
    nor
    -0.59
    ceivable
    -0.58
    ãĥ©ãĥ³
    -0.56
     Poverty
    -0.55
     Found
    -0.55
     Serving
    -0.54
    POSITIVE LOGITS
     somewhat
    1.55
     slightly
    1.50
     alot
    1.50
     considerably
    1.48
     bit
    1.21
     tremendously
    1.21
     immensely
    1.20
     nicer
    1.19
    lightly
    1.15
     more
    1.11
    Activations Density 0.728%

    No Known Activations