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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
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    Explanations

    conditional statements using "would"

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements and expressions of hypothetical situations

    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
    iling
    -0.61
    Introduced
    -0.59
    éĹĺ
    -0.59
    athed
    -0.58
    umbnail
    -0.58
    acted
    -0.58
     deceased
    -0.57
    ilings
    -0.56
    HT
    -0.55
     Shots
    -0.54
    POSITIVE LOGITS
     raining
    1.04
     easier
    0.80
    etsk
    0.80
     unclear
    0.76
     beh
    0.74
     impossible
    0.70
     dawn
    0.68
     triv
    0.67
     abundantly
    0.66
     downhill
    0.66
    Activations Density 0.365%

    No Known Activations