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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. 3-RES-JB
    11. 15878
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    INDEX
    Explanations

    descriptions related to specific times or periods of the day

    oai_token-act-pair · gpt-3.5-turbo

    references to specific measures of time or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.71
    etsk
    -0.66
    anwhile
    -0.62
    arnaev
    -0.61
    imaru
    -0.55
    owicz
    -0.55
     Logged
    -0.54
     Shed
    -0.54
     loophole
    -0.53
    zik
    -0.52
    POSITIVE LOGITS
    votes
    0.58
     proportions
    0.47
     persuasion
    0.47
    ravity
    0.47
     =================================
    0.46
     adolescence
    0.45
    oneliness
    0.44
     dissatisfaction
    0.44
    uy
    0.43
     magnitude
    0.43
    Activations Density 2.198%

    No Known Activations