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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. 18122
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    Explanations

    instances related to different forms of access, particularly pertaining to healthcare, education, and information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to availability and accessibility of resources

    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
     Kern
    -0.68
     ejac
    -0.62
    pload
    -0.62
     Opera
    -0.62
     Origin
    -0.61
     Fenrir
    -0.60
     Fernand
    -0.60
     Bav
    -0.59
     msec
    -0.58
     prope
    -0.58
    POSITIVE LOGITS
    ibility
    1.36
    ibly
    1.25
    ible
    1.06
    ibles
    1.01
    ioned
    0.96
    ibl
    0.96
    ilege
    0.93
    ion
    0.93
    ahime
    0.90
    ibilities
    0.89
    Activations Density 0.022%

    No Known Activations