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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. 18720
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    Explanations

    phrases related to difficulty or challenges

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating difficulty or challenges

    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
    afety
    -0.82
    DragonMagazine
    -0.75
    ERG
    -0.65
    lis
    -0.64
    APTER
    -0.63
    erity
    -0.63
    resy
    -0.62
    initely
    -0.62
    çīĪ
    -0.61
    eur
    -0.60
    POSITIVE LOGITS
     attain
    1.09
     obtain
    1.08
     achieve
    1.03
     acquire
    1.03
     behold
    0.96
     accomplish
    0.94
     recover
    0.94
     absorb
    0.90
     gather
    0.89
     identify
    0.87
    Activations Density 0.110%

    No Known Activations