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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 10315
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    Explanations

    phrases related to financial opportunities and decisions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to economic opportunities and financial gain

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.42
    enegger
    -0.42
    inav
    -0.39
    joining
    -0.37
    querque
    -0.37
    hester
    -0.36
    hak
    -0.35
     Attend
    -0.35
    rina
    -0.35
    gins
    -0.35
    POSITIVE LOGITS
     vulner
    0.52
     dissatisf
    0.48
     lapt
    0.47
     behav
    0.44
     toget
    0.44
     overc
    0.43
     artif
    0.43
     corrid
    0.42
    izoph
    0.42
     princ
    0.41
    Activations Density 9.287%

    No Known Activations