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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 19456
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    Explanations

    instances of statements containing past tense verbs indicating various actions or decisions by different entities

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "have" in relation to various subjects and actions

    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
    ãĤ´
    -0.81
    Six
    -0.71
    drive
    -0.64
    zing
    -0.64
    aire
    -0.64
    onement
    -0.62
    most
    -0.61
    inth
    -0.61
    wash
    -0.60
    eem
    -0.60
    POSITIVE LOGITS
     been
    1.27
     begun
    1.19
     sprung
    1.16
     gone
    1.15
     opted
    1.14
     experimented
    1.12
     gotten
    1.12
     benefited
    1.11
     arisen
    1.10
     undergone
    1.08
    Activations Density 0.198%

    No Known Activations