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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. 15114
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    Explanations

    words related to medical conditions, specifically focusing on "necrophilia" and "gynecology."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to necromancy or the dead

    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
    xual
    -0.83
     Feld
    -0.78
    nings
    -0.77
     Wink
    -0.70
    zac
    -0.69
     Greenwald
    -0.65
    à¹
    -0.65
    ICAN
    -0.63
    inion
    -0.63
     Mata
    -0.63
    POSITIVE LOGITS
    romancer
    1.16
    ropolis
    1.00
    hemy
    0.96
    urg
    0.84
    ologically
    0.83
    rosis
    0.83
    urally
    0.81
    nec
    0.80
    rolog
    0.79
    uria
    0.78
    Activations Density 0.012%

    No Known Activations