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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. 6-RES-JB
    11. 16929
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    Explanations

    words related to communication and connection, such as bridge, conduit, vehicle, buffer, catalyst

    oai_token-act-pair · gpt-3.5-turbo

    terms related to connections and roles, particularly in the context of systems and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancies
    -0.80
    engu
    -0.70
    qus
    -0.70
    hemat
    -0.66
     Edmund
    -0.65
    odore
    -0.65
    buff
    -0.65
    ©¶æ
    -0.62
    uden
    -0.60
    noxious
    -0.60
    POSITIVE LOGITS
     conduit
    0.75
    imum
    0.74
     reminder
    0.72
    ="#
    0.72
    wark
    0.70
     discipl
    0.70
     anch
    0.69
    iment
    0.67
     gateway
    0.67
     mechanism
    0.67
    Activations Density 0.248%

    No Known Activations