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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 11620
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    Explanations

    phrases with the word "Too" followed by an adjective

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Too" followed by an adjective describing excessiveness or abundance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.81
    enance
    -0.74
    farious
    -0.69
    ograph
    -0.67
    ancial
    -0.65
    Qaeda
    -0.64
     quo
    -0.64
    insula
    -0.63
    craft
    -0.63
    enson
    -0.62
    POSITIVE LOGITS
    Too
    0.84
    ndra
    0.70
    Enough
    0.68
    Much
    0.67
    Msg
    0.67
    YY
    0.67
     Too
    0.65
    bad
    0.64
    kward
    0.64
     Feet
    0.63
    Activations Density 0.011%

    No Known Activations