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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. 8-RES-JB
    11. 16899
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    Explanations

    adjectives indicating difficulty or challenge

    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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ript
    -0.79
    allery
    -0.69
    umbn
    -0.67
    DragonMagazine
    -0.67
    enture
    -0.65
     republic
    -0.65
    atern
    -0.64
    uality
    -0.64
    uador
    -0.64
     Protector
    -0.63
    POSITIVE LOGITS
    coded
    1.13
    wired
    1.10
    working
    1.05
    ball
    1.01
    ening
    0.92
    cover
    0.92
    core
    0.89
    BALL
    0.89
    hitting
    0.88
    ened
    0.87
    Activations Density 0.032%

    No Known Activations