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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. 1-RES-JB
    11. 6568
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    Explanations

    words related to lanterns and specific medical terms

    oai_token-act-pair · gpt-3.5-turbo

    references to types of squash and pumpkin

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lay
    -0.65
     Normandy
    -0.65
     divor
    -0.64
     Flo
    -0.62
     Khe
    -0.61
     negotiator
    -0.61
     postp
    -0.60
     survivors
    -0.59
     ABV
    -0.58
     fidelity
    -0.58
    POSITIVE LOGITS
    atural
    1.32
    tern
    1.28
    orrow
    1.05
    estern
    1.01
    aturally
    0.99
    atures
    0.99
    atory
    0.99
    umbered
    0.97
    obyl
    0.97
    esc
    0.97
    Activations Density 0.007%

    No Known Activations