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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. 7-RES-JB
    11. 369
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    Explanations

    phrases related to the origins or sources of various things

    oai_token-act-pair · gpt-3.5-turbo

    references to social issues and grievances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fitt
    -0.57
     swore
    -0.56
     slept
    -0.55
    hew
    -0.53
     Leilan
    -0.53
    ?".
    -0.52
     menstru
    -0.51
     slaughtered
    -0.51
     drank
    -0.50
    croft
    -0.50
    POSITIVE LOGITS
     hypocrisy
    0.66
     paradox
    0.65
     disingen
    0.63
     broader
    0.63
     longstanding
    0.61
     troubling
    0.60
     pervasive
    0.59
     deceptive
    0.59
     Orwell
    0.59
     prag
    0.58
    Activations Density 1.110%

    No Known Activations