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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 1395
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    Explanations

    the word "often" in the text

    oai_token-act-pair · gpt-3.5-turbo

    the frequency of the word "often" in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenberg
    -0.79
    jriwal
    -0.75
    vich
    -0.70
     Achievement
    -0.69
    agate
    -0.69
    ENE
    -0.68
     Integrity
    -0.68
    rowth
    -0.68
    ulsion
    -0.67
    oops
    -0.66
    POSITIVE LOGITS
    entimes
    1.59
     overlooked
    1.31
     times
    1.16
    times
    1.14
     misunderstood
    1.06
     mistaken
    1.05
     forgotten
    1.01
     referred
    1.00
     mistakenly
    0.98
    theless
    0.96
    Activations Density 0.053%

    No Known Activations