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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. 15598
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    Explanations

    instances where an action is being emphasized or heightened, often involving a challenge or hurdle

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases indicating obstacles 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
     establishments
    -0.64
     Cups
    -0.61
     objects
    -0.60
     branches
    -0.60
     cups
    -0.59
    opes
    -0.59
     buildings
    -0.59
     offices
    -0.58
    bees
    -0.58
     channels
    -0.57
    POSITIVE LOGITS
    DragonMagazine
    0.66
    ozy
    0.65
    undrum
    0.65
    IER
    0.63
    ilogy
    0.63
    ,,,,
    0.62
    -+-+
    0.60
    ISON
    0.59
    WER
    0.58
    RET
    0.58
    Activations Density 0.896%

    No Known Activations