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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. 17711
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    INDEX
    Explanations

    phrases related to reasons or motives for actions

    oai_token-act-pair · gpt-3.5-turbo

    references to personal pronouns

    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
    bats
    -0.67
    ntil
    -0.60
    ILLE
    -0.58
    oir
    -0.57
    DAY
    -0.56
    atche
    -0.55
    entry
    -0.54
    ogue
    -0.54
     provisional
    -0.53
     ANGEL
    -0.53
    POSITIVE LOGITS
     feared
    1.18
     KNOW
    1.04
     knew
    1.02
     believe
    1.00
     fear
    0.98
     sensed
    0.98
     thought
    0.97
     felt
    0.97
     realised
    0.96
     believed
    0.96
    Activations Density 0.230%

    No Known Activations