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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. 6-RES-JB
    11. 3790
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    Explanations

    words related to names and locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "lu"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dispatch
    -0.76
     Mavericks
    -0.74
    giving
    -0.72
     DPR
    -0.71
    grounds
    -0.68
    ificial
    -0.63
     NX
    -0.62
    dress
    -0.62
     WS
    -0.61
    framework
    -0.60
    POSITIVE LOGITS
    etooth
    1.29
    enza
    1.07
    orescent
    1.05
    orescence
    1.03
    encers
    1.00
    encing
    1.00
    pton
    0.99
    enced
    0.97
    nder
    0.96
    encer
    0.94
    Activations Density 0.017%

    No Known Activations