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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. 19817
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    Explanations

    financial terms or actions related to distribution or sharing of resources

    oai_token-act-pair · gpt-3.5-turbo

    references to financial distributions or shares related to proceeds or revenue

    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
    gru
    -0.69
    inson
    -0.68
    aces
    -0.67
    places
    -0.65
    ogue
    -0.64
    agonists
    -0.63
    lete
    -0.63
    ancies
    -0.63
    faces
    -0.63
     Occupations
    -0.63
    POSITIVE LOGITS
     proceeds
    1.22
     revenue
    1.18
     profits
    1.17
     revenues
    1.16
     royalties
    1.16
     ($
    1.12
     $
    1.09
     money
    1.09
     expenses
    1.08
     earnings
    1.07
    Activations Density 0.229%

    No Known Activations