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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. 12008
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    Explanations

    phrases mentioning something being addressed or discussed at a later time

    oai_token-act-pair · gpt-3.5-turbo

    references to future events or actions

    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
    eping
    -0.75
    Ped
    -0.72
    washing
    -0.71
    HY
    -0.71
     Pwr
    -0.68
    cking
    -0.66
    bath
    -0.66
    HO
    -0.65
    tick
    -0.65
    kell
    -0.63
    POSITIVE LOGITS
     generations
    0.99
     iterations
    0.90
     versions
    0.84
     batches
    0.79
     installments
    0.79
     stages
    0.79
     phases
    0.78
    noon
    0.76
     indo
    0.74
    iations
    0.73
    Activations Density 0.035%

    No Known Activations