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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. 15374
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    Explanations

    mentions of things related to high speed or technology

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "super" as a prefix or concept in various contexts

    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
    hyde
    -0.91
    naires
    -0.74
    wright
    -0.72
    Constructed
    -0.68
    Monitor
    -0.68
     Orbit
    -0.65
     Inspection
    -0.64
    prototype
    -0.64
     Controls
    -0.64
    work
    -0.63
    POSITIVE LOGITS
    nder
    1.02
     predec
    1.02
    cess
    1.01
    zanne
    0.99
    arez
    0.98
    plet
    0.98
    ction
    0.97
    perm
    0.95
    pert
    0.95
    jj
    0.94
    Activations Density 0.005%

    No Known Activations