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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. 10-RES-JB
    11. 6196
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    Explanations

    conjunctions followed by commentary or contrasting statements

    oai_token-act-pair · gpt-3.5-turbo

    contradictory or contrasting statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.92
     teasp
    -0.83
    ENG
    -0.81
    BILITIES
    -0.77
    ãĤ¨ãĥ«
    -0.76
    æ©
    -0.75
    ãĥĺ
    -0.75
    hex
    -0.73
    ãĥīãĥ©
    -0.73
    senal
    -0.73
    POSITIVE LOGITS
     suffice
    1.21
     insofar
    1.12
     nonetheless
    1.07
     nevertheless
    1.07
     secondly
    1.05
     frankly
    1.01
     moreover
    1.01
     therein
    1.00
     judging
    0.98
     surely
    0.97
    Activations Density 0.376%

    No Known Activations