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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. 14352
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    Explanations

    names of locations and possibly political figures

    oai_token-act-pair · gpt-3.5-turbo

    names of places and significant locations

    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
     payoff
    -0.59
     racket
    -0.58
     flo
    -0.56
     stimulus
    -0.54
     regulation
    -0.54
     turnout
    -0.54
     rpm
    -0.53
     aggregation
    -0.52
     muscle
    -0.52
     habits
    -0.52
    POSITIVE LOGITS
    soDeliveryDate
    0.99
    Äĩ
    0.79
    Downloadha
    0.73
    èĢħ
    0.70
    tnc
    0.69
    sic
    0.69
    Ø©
    0.66
    ensis
    0.66
    heit
    0.66
    edu
    0.65
    Activations Density 1.188%

    No Known Activations