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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. 9-RES-JB
    11. 8761
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    Explanations

    phrases related to the allocation or distribution of money, resources, or funds

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the allocation or movement of money or funds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.74
    ament
    -0.64
    ulation
    -0.63
    ullah
    -0.63
     Recap
    -0.61
    uminati
    -0.61
    icio
    -0.60
    eers
    -0.59
    orsi
    -0.58
    oring
    -0.58
    POSITIVE LOGITS
    lems
    0.94
     unnoticed
    0.87
    ©¶æ
    0.84
     forth
    0.82
    verning
    0.80
    Ń·
    0.79
     ashore
    0.77
     into
    0.74
     forward
    0.74
    vt
    0.74
    Activations Density 0.096%

    No Known Activations