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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. 6096
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    INDEX
    Explanations

    phrases related to being impacted or influenced by a particular event or situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "affected" in various contexts

    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
    WithNo
    -0.69
    çĦ
    -0.69
    ãĤ©
    -0.68
    atom
    -0.67
    ALK
    -0.67
    ATT
    -0.66
    ç«
    -0.66
    YC
    -0.64
     Alps
    -0.64
     Haku
    -0.64
    POSITIVE LOGITS
     affected
    1.12
     impacted
    1.03
     adversely
    1.00
     effected
    0.99
     unaffected
    0.83
     impact
    0.81
     affect
    0.78
     impacts
    0.77
     havoc
    0.77
    iciary
    0.75
    Activations Density 0.021%

    No Known Activations