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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. 4-RES-JB
    11. 2741
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    Explanations

    phrases describing some attributes or characteristics of a subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases and sentences that introduce or describe singular nouns, especially in a narrative context

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

    No Comments

    Negative Logits
    senal
    -0.74
    ategory
    -0.72
    DOM
    -0.70
    bryce
    -0.65
    izons
    -0.65
    ociate
    -0.63
    éĹĺ
    -0.62
    umbnail
    -0.62
    mage
    -0.60
    ],[
    -0.60
    POSITIVE LOGITS
     raining
    0.95
     uphill
    0.79
     unclear
    0.79
     impossible
    0.77
     easy
    0.75
     fair
    0.74
     easier
    0.74
     easiest
    0.72
     downhill
    0.72
     ironic
    0.72
    Activations Density 0.429%

    No Known Activations