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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. 18356
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    Explanations

    instances of impersonation, especially in relation to scams and acts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to impersonation and imitation

    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
    âķIJâķIJ
    -0.78
    Includes
    -0.74
    20439
    -0.73
     guiActiveUnfocused
    -0.71
     Belt
    -0.68
     RELEASE
    -0.68
    STD
    -0.67
     Habit
    -0.66
    FFER
    -0.65
    Streamer
    -0.65
    POSITIVE LOGITS
     imperson
    1.46
     spoof
    1.02
    ational
    0.88
    ating
    0.86
    ators
    0.85
    azon
    0.84
    uting
    0.84
    ality
    0.82
    atural
    0.82
    ator
    0.80
    Activations Density 0.010%

    No Known Activations