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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8916
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    INDEX
    Explanations

    determiners followed by a form of 'to be' and adjectives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms and contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DEFENSE
    -0.72
     Pants
    -0.66
    criminal
    -0.65
    SHIP
    -0.64
     Mellon
    -0.63
    arna
    -0.63
    edom
    -0.60
     Dayton
    -0.60
    ince
    -0.59
    aii
    -0.58
    POSITIVE LOGITS
     wont
    0.78
     attest
    0.73
     hitherto
    0.73
     [|
    0.72
     evidenced
    0.72
     dictated
    0.69
     regenerate
    0.67
     progressed
    0.65
     presently
    0.64
     often
    0.64
    Activations Density 0.225%

    No Known Activations