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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. 6480
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    Explanations

    words related to emotions or feelings, particularly those ending in "-am."

    oai_token-act-pair · gpt-3.5-turbo

    the word "am" in various contexts

    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
     discretionary
    -0.69
     Clause
    -0.69
     concession
    -0.65
     legality
    -0.62
     backstory
    -0.61
     rehe
    -0.60
     Durham
    -0.59
     dive
    -0.59
     Wonderland
    -0.58
     uranium
    -0.58
    POSITIVE LOGITS
    ateurs
    1.50
    azon
    1.39
    ethyst
    1.34
    nesia
    1.30
    assing
    1.29
    icable
    1.29
    enable
    1.26
    orph
    1.20
    icably
    1.18
    oral
    1.16
    Activations Density 0.017%

    No Known Activations