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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
    11. 18083
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    Explanations

    the word "Mongo" with various activations, potentially indicating a focus on MongoDB-related content

    oai_token-act-pair · gpt-3.5-turbo

    references to MongoDB, emphasizing its various contexts and uses

    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
    Edited
    -0.77
    ty
    -0.72
    ablishment
    -0.70
    rift
    -0.68
    owship
    -0.67
    nery
    -0.67
    RI
    -0.65
    apego
    -0.64
     omission
    -0.62
    creen
    -0.62
    POSITIVE LOGITS
    vernment
    1.44
    ongo
    1.12
    ose
    0.98
    atl
    0.85
    herty
    0.82
    veyard
    0.81
    oing
    0.78
    etheless
    0.75
     opio
    0.75
     Grande
    0.74
    Activations Density 0.010%

    No Known Activations