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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. 6605
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    Explanations

    past tense verbs related to events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    words related to events and their occurrences

    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
    Cong
    -0.64
    ipation
    -0.63
     Trees
    -0.63
    rehens
    -0.63
    riend
    -0.62
    ibel
    -0.61
    mini
    -0.61
     Recomm
    -0.60
    luaj
    -0.60
    enstein
    -0.60
    POSITIVE LOGITS
     place
    1.59
     precedence
    1.19
    place
    1.19
     Place
    1.02
     shape
    1.02
     effect
    0.95
     advantage
    0.95
    Place
    0.87
    places
    0.87
     cues
    0.85
    Activations Density 0.054%

    No Known Activations