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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. 3-RES-JB
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    Explanations

    phrases related to the enactment or establishment of rules, laws, or processes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "passage" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocre
    -0.74
    rum
    -0.73
    oult
    -0.65
    rice
    -0.65
    iron
    -0.64
     contrace
    -0.64
    wig
    -0.64
    RAW
    -0.64
    osh
    -0.64
    Tur
    -0.64
    POSITIVE LOGITS
     passages
    1.00
     passage
    0.99
    phrase
    0.83
    smanship
    0.71
     onward
    0.71
    ibility
    0.70
    through
    0.69
     Passed
    0.69
     Passage
    0.68
    aneers
    0.68
    Activations Density 0.012%

    No Known Activations