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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. 22041
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    Explanations

    expressions related to database programming with MongoDB

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mong" and its variations

    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
     Skydragon
    -0.85
    perture
    -0.83
    graded
    -0.75
     Leilan
    -0.71
    */(
    -0.70
    IELD
    -0.67
    ITED
    -0.67
    istine
    -0.67
     Sector
    -0.67
     ABE
    -0.66
    POSITIVE LOGITS
    mong
    1.29
    atown
    0.95
    ument
    0.93
    eful
    0.86
    ollah
    0.85
    efully
    0.84
    ong
    0.79
    oing
    0.76
    rers
    0.75
    oes
    0.74
    Activations Density 0.018%

    No Known Activations