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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. 4-RES-JB
    11. 12169
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    Explanations

    phrases related to lack of knowledge or awareness

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to awareness and understanding of situations

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

    No Comments

    Negative Logits
    OUP
    -0.74
    ère
    -0.72
    rolet
    -0.70
    arat
    -0.69
    si
    -0.68
    cking
    -0.68
    ensis
    -0.67
    enthal
    -0.66
    manship
    -0.66
    uph
    -0.66
    POSITIVE LOGITS
    isance
    0.83
    inventoryQuantity
    0.77
     deficient
    0.74
    ually
    0.72
     inability
    0.71
     eyed
    0.66
     inadequate
    0.64
     guiActiveUnfocused
    0.64
     deprived
    0.63
    irlf
    0.63
    Activations Density 0.062%

    No Known Activations