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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10949
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    Explanations

    mentions of individuals' names along with associated actions or comments

    oai_token-act-pair · gpt-3.5-turbo

    notifications or discussions regarding involvement or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    undown
    -0.79
     disadvant
    -0.74
     fortun
    -0.70
     guiActiveUnfocused
    -0.69
     adolesc
    -0.69
     fragmentation
    -0.68
     pressures
    -0.66
    odium
    -0.65
    ickets
    -0.65
     backdrop
    -0.64
    POSITIVE LOGITS
    swer
    0.87
    own
    0.86
    âĸł
    0.85
    audi
    0.84
    sure
    0.83
    ship
    0.81
    ··
    0.79
    must
    0.79
    else
    0.77
    âĸº
    0.76
    Activations Density 0.117%

    No Known Activations