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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. 17599
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    INDEX
    Explanations

    words expressing difficulty or frustration

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express difficulty or challenges

    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
    eret
    -0.75
    umbn
    -0.74
    umbnail
    -0.66
    ITNESS
    -0.65
    MT
    -0.65
    ĺħ
    -0.64
    ophe
    -0.63
     rave
    -0.62
    inant
    -0.62
    Performance
    -0.61
    POSITIVE LOGITS
    imaru
    0.82
     easy
    0.74
    arios
    0.70
     Rivera
    0.70
    sonian
    0.68
     impossible
    0.67
    ansson
    0.67
    coded
    0.67
     Pruitt
    0.66
     Tycoon
    0.66
    Activations Density 0.064%

    No Known Activations