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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. 1572
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    Explanations

    references to time in relation to an action or status

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ow"

    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
     circulate
    -0.67
    ãĤ¶
    -0.66
     gratification
    -0.66
     apartheid
    -0.66
    ãĥ¼ãĥĨ
    -0.64
     Schwar
    -0.64
    ority
    -0.62
     pinch
    -0.60
    udes
    -0.60
     Rouge
    -0.59
    POSITIVE LOGITS
    OW
    1.17
    ARDS
    1.10
    ERS
    1.08
    LAN
    1.06
    orld
    1.04
    OWS
    1.02
    DER
    1.01
    HEAD
    1.00
    IE
    0.97
    ING
    0.95
    Activations Density 0.006%

    No Known Activations