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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. 4-RES-JB
    11. 20100
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    Explanations

    words related to paddling activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to paddling and water sports

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

    No Comments

    Negative Logits
    urgy
    -0.73
    infeld
    -0.67
    ENE
    -0.66
    PsyNetMessage
    -0.65
    士
    -0.64
     Mercenary
    -0.63
    oppers
    -0.62
    phis
    -0.62
    haar
    -0.62
     relativity
    -0.60
    POSITIVE LOGITS
     padd
    1.26
    addle
    0.85
    restling
    0.83
    oon
    0.82
    ieri
    0.81
     paddle
    0.80
    lash
    0.76
     nib
    0.74
    hett
    0.74
     canoe
    0.73
    Activations Density 0.008%

    No Known Activations