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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. 0-RES-JB
    11. 18195
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    INDEX
    Explanations

    phrases indicating to remember something

    oai_token-act-pair · gpt-3.5-turbo

    the repeated phrase "Remember" indicating a call to recall or consider past information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     imped
    -0.80
     heads
    -0.67
    ities
    -0.65
    atic
    -0.65
     immature
    -0.63
     unf
    -0.63
    head
    -0.62
     poles
    -0.62
     compet
    -0.62
     jurisdiction
    -0.60
    POSITIVE LOGITS
     Remember
    3.30
    Remember
    2.84
    remember
    2.37
     remember
    1.79
     Recall
    1.63
     Forget
    1.45
     Beware
    1.38
     Believe
    1.35
     Again
    1.32
     remembering
    1.26
    Activations Density 0.014%

    No Known Activations