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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. 11146
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    Explanations

    sentences that provide technical instructions or descriptions, often involving programming or development-related terms

    oai_token-act-pair · gpt-3.5-turbo

    fragmented or unconventional sentence structures and punctuation usage

    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
    soType
    -0.64
    embed
    -0.63
    align
    -0.63
    xual
    -0.62
    roll
    -0.59
    Emb
    -0.59
    ANCE
    -0.58
    к
    -0.58
    AMI
    -0.58
    Ĥª
    -0.58
    POSITIVE LOGITS
     third
    2.24
    Third
    2.20
     fourth
    2.06
     second
    2.01
    third
    1.99
    Fourth
    1.96
     Third
    1.92
     fifth
    1.82
    fourth
    1.81
    second
    1.79
    Activations Density 0.262%

    No Known Activations