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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. 11-RES-JB
    11. 11519
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    Explanations

    phrases related to the integration of different elements or data sources

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to integration and transformation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pport
    -0.67
     conduc
    -0.59
     rall
    -0.58
    vertisement
    -0.56
    adena
    -0.53
    amaz
    -0.51
    ITNESS
    -0.51
    ĻĤ
    -0.49
     Wanted
    -0.48
     defends
    -0.47
    POSITIVE LOGITS
     into
    2.41
    into
    2.22
     Into
    2.00
     INTO
    1.95
     onto
    1.83
     overboard
    0.99
     seamlessly
    0.89
     hither
    0.77
     toward
    0.77
    onto
    0.75
    Activations Density 0.774%

    No Known Activations