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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. 1-RES-JB
    11. 642
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    Explanations

    phrases related to organizing or setting up a plan of action

    oai_token-act-pair · gpt-3.5-turbo

    actions related to preparation or arrangements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $$
    -0.85
    cffffcc
    -0.79
    ufact
    -0.76
    jriwal
    -0.76
    igslist
    -0.75
    olph
    -0.74
    berus
    -0.72
    duino
    -0.71
    hower
    -0.71
    20439
    -0.71
    POSITIVE LOGITS
     guiActive
    0.67
     Mistress
    0.67
     temperament
    0.65
     illegitimate
    0.63
     Vit
    0.63
     schizophren
    0.62
    Style
    0.61
     arbitration
    0.61
     Eighth
    0.60
     Lyons
    0.59
    Activations Density 0.000%

    No Known Activations