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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. 5409
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    Explanations

    terms related to physical inability or challenges

    oai_token-act-pair · gpt-3.5-turbo

    actions related to difficulties or obstacles in functioning or daily activities

    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
    )</
    -0.68
    ãĤ©
    -0.64
     NEVER
    -0.61
    \\\\\\\\
    -0.60
    estern
    -0.59
     unwitting
    -0.56
     href
    -0.55
    DragonMagazine
    -0.55
    <?
    -0.55
    ortment
    -0.54
    POSITIVE LOGITS
     anymore
    1.49
     adequately
    1.44
     properly
    1.34
     nor
    1.30
     due
    1.26
     sufficiently
    1.23
     satisf
    1.22
    due
    1.21
     owing
    1.13
     efficiently
    1.10
    Activations Density 0.704%

    No Known Activations