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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
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    Explanations

    instances of mentorship

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mentorship and mentoring relationships

    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
    Ô
    -0.78
    IDES
    -0.69
    éĹĺ
    -0.69
    Prev
    -0.67
    ãĥĥãĤ¯
    -0.67
     WATCHED
    -0.65
    Dim
    -0.64
     phyl
    -0.61
    rencies
    -0.61
    jriwal
    -0.61
    POSITIVE LOGITS
    orship
    1.24
     ment
    1.00
     mentors
    0.97
    oring
    0.96
     mentor
    0.96
     Ment
    0.86
    ees
    0.86
    lasses
    0.85
     tut
    0.84
    heses
    0.84
    Activations Density 0.065%

    No Known Activations