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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. 1530
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    Explanations

    phrases related to investigations or discussions around an issue

    oai_token-act-pair · gpt-3.5-turbo

    the word "matter" and its various usages in different contexts

    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
    NetMessage
    -0.93
    ãĥ³ãĤ¸
    -0.88
    ARP
    -0.77
    cki
    -0.70
    iens
    -0.69
    rylic
    -0.67
    PsyNetMessage
    -0.67
    ©¶æ
    -0.66
    gd
    -0.66
    ilers
    -0.65
    POSITIVE LOGITS
    ional
    0.96
     pertaining
    0.88
     involving
    0.83
     relating
    0.83
    forward
    0.82
     matters
    0.82
     surrounding
    0.81
    manship
    0.78
     matter
    0.77
    matter
    0.76
    Activations Density 0.018%

    No Known Activations