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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. 0-RES-JB
    11. 10188
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    INDEX
    Explanations

    instances of words related to actions or processes being augmented or complimented

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "mention" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Plot
    -0.64
     pumps
    -0.59
     scissors
    -0.59
     Shots
    -0.58
     Crawford
    -0.58
    WAYS
    -0.58
     Charity
    -0.58
     credentials
    -0.57
     econom
    -0.57
     wheels
    -0.56
    POSITIVE LOGITS
    mented
    4.13
    mentation
    2.13
    ment
    1.17
    MENT
    1.08
    rative
    1.07
    ments
    1.06
    MENTS
    0.99
    irtual
    0.91
    ufact
    0.91
    mental
    0.89
    Activations Density 0.021%

    No Known Activations