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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. 4-RES-JB
    11. 1660
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    Explanations

    phrases related to the concept of the best way to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss optimal methods or strategies for achieving results

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

    No Comments

    Negative Logits
    usters
    -1.08
    uster
    -0.88
    ĸļ
    -0.82
    aqu
    -0.70
    aredevil
    -0.69
    ĪĴ
    -0.68
    oat
    -0.68
    itor
    -0.68
    akov
    -0.66
     susp
    -0.66
    POSITIVE LOGITS
    fare
    1.10
    finding
    0.96
    way
    0.79
    ãĤ¢ãĥ«
    0.77
    forward
    0.77
    LI
    0.75
    point
    0.74
    NE
    0.69
    soDeliveryDate
    0.69
    ward
    0.69
    Activations Density 0.040%

    No Known Activations