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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. 4-RES-JB
    6. 15459
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    Explanations

    words related to physical characteristics or traits

    oai_token-act-pair · gpt-3.5-turbo

    suffixes of various adjectives and nouns

    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
    lished
    -0.80
     Nationwide
    -0.68
    alach
    -0.67
    ADRA
    -0.66
    ingham
    -0.64
    HUD
    -0.63
    ATTLE
    -0.63
    TRY
    -0.61
    rehens
    -0.60
     Topic
    -0.60
    POSITIVE LOGITS
     grass
    0.71
     peanut
    0.67
    lich
    0.66
     eyes
    0.66
     wedge
    0.65
     squirrel
    0.65
    uct
    0.65
     camel
    0.64
     masses
    0.64
    onite
    0.63
    Activations Density 0.195%

    No Known Activations