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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. 9-RES-JB
    11. 23613
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    Explanations

    phrases related to organizations and programs

    oai_token-act-pair · gpt-3.5-turbo

    references to specific regions, organizations, or programs related to childhood assistance and defense systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĤ´ãĥ³
    -0.87
    76561
    -0.85
    leon
    -0.73
    abre
    -0.69
    inventoryQuantity
    -0.65
    matter
    -0.64
    hub
    -0.63
    infeld
    -0.63
    rue
    -0.61
    onom
    -0.61
    POSITIVE LOGITS
     (
    1.48
     ("
    1.34
     ('
    1.21
     (?,
    1.17
     ([
    1.12
     (.
    1.08
     (=
    1.02
     (*
    1.01
     [(
    1.00
     ((
    1.00
    Activations Density 0.443%

    No Known Activations