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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. 10-RES-JB
    11. 6391
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    Explanations

    phrases related to beliefs or assertions

    oai_token-act-pair · gpt-3.5-turbo

    different types of claims and assumptions related to politics and social beliefs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eni
    -0.67
    enic
    -0.59
    allery
    -0.59
    quer
    -0.58
    \/\/
    -0.58
    nton
    -0.57
    apeake
    -0.57
    miah
    -0.55
    emort
    -0.55
     Spoiler
    -0.54
    POSITIVE LOGITS
     that
    1.23
    that
    1.07
     THAT
    0.83
    That
    0.78
    ariat
    0.76
     That
    0.76
    uality
    0.74
    orial
    0.72
    ally
    0.63
    lessness
    0.63
    Activations Density 0.159%

    No Known Activations