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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. 9-RES-JB
    11. 23598
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    Explanations

    phrases containing the word 'that' and a subsequent description or statement

    oai_token-act-pair · gpt-3.5-turbo

    the word "that" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    burgh
    -0.67
    estern
    -0.67
    resents
    -0.64
     pione
    -0.62
    ovy
    -0.62
    inator
    -0.61
    oreAnd
    -0.59
    vez
    -0.59
    ãĤ¼ãĤ¦ãĤ¹
    -0.59
    ggles
    -0.58
    POSITIVE LOGITS
     "[
    0.98
     it
    0.97
     they
    0.95
     he
    0.88
     there
    0.77
    soever
    0.77
     "...
    0.76
     '[
    0.75
    nob
    0.74
     passers
    0.74
    Activations Density 0.240%

    No Known Activations