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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. 3-RES-JB
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    The neuron is looking for the word "Ter" followed by a single character

    oai_token-act-pair · gpt-3.5-turbo

    the term "Ter" followed by a number or reference to a person's name

    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
    issance
    -0.80
    ãģ®éŃĶ
    -0.76
    unct
    -0.75
    atform
    -0.69
    uncture
    -0.69
    ħĭ
    -0.68
    enthal
    -0.67
    ELS
    -0.66
     Cuomo
    -0.66
    ãģį
    -0.65
    POSITIVE LOGITS
    rible
    1.26
    rigan
    1.11
    ribly
    1.09
    rance
    1.07
    race
    1.07
    mine
    1.03
    mite
    1.02
    rell
    1.01
    restrial
    1.00
    rors
    0.99
    Activations Density 0.010%

    No Known Activations