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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. 6-RES-JB
    11. 17175
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    Explanations

    phrases indicating a conclusion, judgment, or explanation

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.83
    aukee
    -0.80
    izont
    -0.71
    Lex
    -0.70
    PRESS
    -0.70
    vre
    -0.64
    IUM
    -0.63
    MX
    -0.61
    Luck
    -0.61
    Robin
    -0.60
    POSITIVE LOGITS
     consequently
    0.95
     culminated
    0.78
     they
    0.78
     furthermore
    0.74
    soever
    0.74
     reconc
    0.73
    cher
    0.70
     therefore
    0.69
     although
    0.68
     resulted
    0.68
    Activations Density 0.107%

    No Known Activations