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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. 10-RES-JB
    11. 4370
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    Explanations

    terms related to mentoring and guidance

    oai_token-act-pair · gpt-3.5-turbo

    references to mentorship and tutoring

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.83
    IDES
    -0.75
     Paddock
    -0.66
    Dim
    -0.65
    ãĥĥãĤ¯
    -0.62
     incomplete
    -0.60
    endif
    -0.60
    ãĥĥãĥī
    -0.59
     phyl
    -0.58
    Ø©
    -0.58
    POSITIVE LOGITS
    orship
    1.61
    oring
    1.30
    ored
    1.16
     ment
    1.03
     tut
    0.98
    orage
    0.96
     mentor
    0.96
    iors
    0.93
     mentors
    0.90
    ees
    0.88
    Activations Density 0.033%

    No Known Activations