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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. 22959
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal issues and interactions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ?'
    -0.57
    vt
    -0.57
    henko
    -0.56
     Letters
    -0.53
     ?)
    -0.52
     tonight
    -0.52
     Announce
    -0.52
    ?:
    -0.51
     Fiction
    -0.51
    ?]
    -0.50
    POSITIVE LOGITS
    +.
    0.52
     metic
    0.50
     indistinguishable
    0.49
     respectively
    0.49
     autonom
    0.45
    ihu
    0.45
     advoc
    0.45
    ).[
    0.45
    yond
    0.44
    resp
    0.44
    Activations Density 1.538%

    No Known Activations