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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. 5463
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    Explanations

    commands or instructions related to creating objects or initiating processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to creation or generating content

    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
    yip
    -0.96
    ¶æ
    -0.84
    angelo
    -0.77
    soever
    -0.76
    yang
    -0.72
    ħĭ
    -0.72
    dash
    -0.71
     Gaw
    -0.70
    £ı
    -0.68
    orsi
    -0.66
    POSITIVE LOGITS
    ATURE
    0.88
    CRE
    0.82
     CRE
    0.80
    WN
    0.79
    USE
    0.78
    ATED
    0.77
    ATURES
    0.76
    ERC
    0.75
    SELECT
    0.75
    STATE
    0.75
    Activations Density 0.027%

    No Known Activations