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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. 4-RES-JB
    11. 9627
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    Explanations

    terms related to technical or abstract concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to processes and their implications

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

    No Comments

    Negative Logits
     VIP
    -0.77
    Emergency
    -0.73
    boro
    -0.71
    lbs
    -0.69
    Alert
    -0.68
    ãĥĵ
    -0.65
    Cele
    -0.64
     Canaveral
    -0.64
    bath
    -0.64
     Dubai
    -0.62
    POSITIVE LOGITS
     philosophers
    1.13
     empirical
    1.07
     epist
    1.00
     hypotheses
    1.00
     empir
    0.98
     hypothesis
    0.98
    ensional
    0.94
     normative
    0.94
     analytic
    0.93
     Chomsky
    0.93
    Activations Density 1.991%

    No Known Activations