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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. 3-RES-JB
    11. 13474
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    INDEX
    Explanations

    mentions of the term "mentor"

    oai_token-act-pair · gpt-3.5-turbo

    references to mentors and mentorship

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phabet
    -0.69
    rencies
    -0.64
    aque
    -0.64
    itars
    -0.64
    ldon
    -0.63
    irens
    -0.63
    itious
    -0.61
    scan
    -0.61
    Ô
    -0.60
    lander
    -0.60
    POSITIVE LOGITS
     mentor
    1.30
     mentors
    1.13
    hesis
    1.01
     tutor
    0.97
     ment
    0.92
     Ment
    0.86
     tut
    0.81
    heses
    0.80
     Assist
    0.80
     Teach
    0.77
    Activations Density 0.016%

    No Known Activations