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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. 4264
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    Explanations

    words related to aquariums

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    Reloaded
    -0.78
    âķIJâķIJ
    -0.75
     check
    -0.70
     tune
    -0.66
     nod
    -0.66
    PsyNetMessage
    -0.65
     checking
    -0.65
     fax
    -0.64
     Eliot
    -0.63
     twisting
    -0.62
    POSITIVE LOGITS
    ittal
    1.18
    idd
    1.07
    atic
    1.03
    arium
    1.02
    apon
    0.99
    isition
    0.99
    atics
    0.96
    inas
    0.95
    ithe
    0.95
    arius
    0.94
    Activations Density 0.034%

    No Known Activations