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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. 7886
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    INDEX
    Explanations

    phrases indicating a point, opinion, or direction

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "to" in various contexts

    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
    awei
    -0.64
     packets
    -0.64
    need
    -0.62
     snapshots
    -0.62
     filters
    -0.60
     dips
    -0.60
    hops
    -0.60
     pauses
    -0.60
    pins
    -0.59
     deductions
    -0.59
    POSITIVE LOGITS
    ilet
    1.04
    asty
    1.04
     reiterate
    0.97
    wered
    0.97
    ffee
    0.95
    asted
    0.94
    othy
    0.93
    ggles
    0.93
    pless
    0.88
    psy
    0.87
    Activations Density 0.149%

    No Known Activations