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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. 6-RES-JB
    11. 3707
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    INDEX
    Explanations

    experiences and accomplishments related to journalism and writing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to journalistic experience and writing credentials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulus
    -0.71
    Args
    -0.70
     âĤ¬
    -0.67
     timeout
    -0.65
    Timeout
    -0.64
     Vote
    -0.61
     Notice
    -0.61
    oyer
    -0.60
    OULD
    -0.59
     replay
    -0.58
    POSITIVE LOGITS
    everal
    0.84
    ometimes
    0.83
     collaborations
    0.83
     projects
    0.82
     ventures
    0.82
    blogs
    0.78
    ornings
    0.77
     exhibitions
    0.76
     documentaries
    0.76
     publications
    0.76
    Activations Density 0.517%

    No Known Activations