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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. 9-RES-JB
    6. 721
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    INDEX
    Explanations

    sentences with words related to communication and interactions

    oai_token-act-pair · gpt-3.5-turbo

    instances of human interaction and the uniqueness of individual experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rers
    -0.71
    bral
    -0.71
    rer
    -0.68
    ahime
    -0.64
    reements
    -0.59
    emn
    -0.57
    uers
    -0.57
     negotiators
    -0.56
     respectively
    -0.56
    cients
    -0.54
    POSITIVE LOGITS
     imaginable
    1.22
     whatsoever
    1.13
    soever
    1.07
     except
    1.06
    pires
    0.87
     anywhere
    0.83
    except
    0.82
     irrespective
    0.82
     regardless
    0.81
     MUST
    0.80
    Activations Density 0.653%

    No Known Activations