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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. 2-RES-JB
    11. 7115
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    Explanations

    phrases related to religious or authoritative texts

    oai_token-act-pair · gpt-3.5-turbo

    references to "canon" and related concepts in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Antar
    -0.70
    ALTH
    -0.67
    UTH
    -0.67
    Il
    -0.65
    sie
    -0.65
    RANT
    -0.65
    Frameworks
    -0.64
    Hun
    -0.64
    Ob
    -0.64
    EFF
    -0.63
    POSITIVE LOGITS
    icity
    1.07
    ically
    0.99
    icals
    0.99
     canon
    0.94
    canon
    0.92
    icles
    0.86
    ical
    0.80
     canonical
    0.80
    pedia
    0.79
    iscopal
    0.78
    Activations Density 0.012%

    No Known Activations