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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. 6-RES-JB
    11. 9964
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    Explanations

    phrases related to something happening or being done in a quicker timeframe than expected

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating urgency or prompts for action in relation to time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ward
    -0.76
    square
    -0.69
    sur
    -0.65
     Syndicate
    -0.65
    erie
    -0.64
    VG
    -0.64
     Divinity
    -0.63
    andals
    -0.62
    virt
    -0.61
    prison
    -0.60
    POSITIVE LOGITS
     than
    0.97
    aneously
    0.90
     "$:/
    0.80
     nodd
    0.79
     msec
    0.74
    than
    0.73
     Than
    0.73
     confir
    0.73
     paced
    0.71
     sooner
    0.70
    Activations Density 0.014%

    No Known Activations