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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5920
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    INDEX
    Explanations

    expressions related to penetration, whether physical or metaphorical

    oai_token-act-pair · gpt-3.5-turbo

    terms related to penetration or entry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.74
    umble
    -0.72
    makers
    -0.68
    uf
    -0.63
    inn
    -0.63
    maker
    -0.61
    arb
    -0.61
    çĶŁ
    -0.60
    corn
    -0.60
    ÄŁ
    -0.59
    POSITIVE LOGITS
     penetrated
    1.24
     penetration
    1.22
     penetrate
    1.20
     penet
    1.11
     penetrating
    0.99
     Penet
    0.81
    atform
    0.81
     deeper
    0.79
     Explorer
    0.77
     embr
    0.75
    Activations Density 0.024%

    No Known Activations