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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. 6290
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    Rap
    -0.72
    !".
    -0.67
    Cash
    -0.67
    ]."
    -0.62
    inki
    -0.60
    Charge
    -0.58
    .�
    -0.58
    abwe
    -0.57
    çͰ
    -0.57
    APD
    -0.57
    POSITIVE LOGITS
    endum
    0.61
    emn
    0.58
    ritical
    0.57
    reth
    0.54
    gins
    0.53
    pedia
    0.53
    uous
    0.53
     pane
    0.53
    enary
    0.51
    ship
    0.51
    Activations Density 1.153%

    No Known Activations