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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. 1464
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    Explanations

    references to technology-related terms, such as data, government dataset, and digital data workflows

    oai_token-act-pair · gpt-3.5-turbo

    the abbreviation "IN" used in various contexts

    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
    uyomi
    -0.76
     Seym
    -0.75
    ¶ħ
    -0.72
    catentry
    -0.67
    ichick
    -0.66
    liga
    -0.65
     Fired
    -0.64
    ¿½
    -0.64
    terday
    -0.61
     warr
    -0.60
    POSITIVE LOGITS
    TERN
    1.37
    FORMATION
    1.27
    CLUD
    1.18
    PUT
    1.17
    strument
    1.12
    NER
    1.12
    STRUCT
    1.10
    CEPT
    1.10
    CLUS
    1.09
    VERS
    1.05
    Activations Density 0.012%

    No Known Activations