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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. 3-RES-JB
    11. 16051
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    Explanations

    technical acronyms or terms

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to the acronym "SP" and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĥãĥĪ
    -0.80
    ĸļ
    -0.72
    hower
    -0.72
    omorph
    -0.68
    naires
    -0.67
    ãĤ¤ãĥĪ
    -0.67
    omorphic
    -0.66
    sbm
    -0.65
     Kut
    -0.64
     Freud
    -0.64
    POSITIVE LOGITS
    EED
    1.24
    OIL
    1.14
    ORT
    1.03
    IR
    1.02
    ONSORED
    1.00
    ORTS
    0.97
    ARK
    0.93
    lance
    0.91
    ARC
    0.89
    ACE
    0.89
    Activations Density 0.008%

    No Known Activations