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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. 7-RES-JB
    11. 22899
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    Explanations

    adjectives indicating difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating difficulty or challenges in achieving or accessing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    afety
    -0.88
    DragonMagazine
    -0.88
    erity
    -0.76
    emetery
    -0.65
    ERG
    -0.64
     Past
    -0.62
    neum
    -0.62
     Relief
    -0.61
    hyde
    -0.60
    lis
    -0.60
    POSITIVE LOGITS
     obtain
    1.07
     attain
    0.99
     achieve
    0.98
     acquire
    0.98
    ggles
    0.90
     navigate
    0.90
     accomplish
    0.89
     maintain
    0.89
     behold
    0.88
     comprehend
    0.88
    Activations Density 0.067%

    No Known Activations