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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. 23789
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    INDEX
    Explanations

    mentions of specific times of day, particularly mornings as well as some evenings

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to morning news delivery

    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
    Reply
    -0.74
    less
    -0.72
    cephal
    -0.71
    bid
    -0.70
    lessness
    -0.67
    PLAY
    -0.66
    roots
    -0.66
    istic
    -0.65
    ye
    -0.65
     Proposition
    -0.65
    POSITIVE LOGITS
    aturdays
    1.07
     mornings
    0.96
    etheless
    0.87
    uters
    0.81
     cartoons
    0.80
     lapt
    0.79
     simultane
    0.77
     routines
    0.76
    mith
    0.76
     weekday
    0.75
    Activations Density 0.013%

    No Known Activations